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ORCIDJure Leskovec
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- affiliation: Stanford University, USA
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2020 – today
- 2024
[c257]Tailin Wu, Willie Neiswanger, Hongtao Zheng
, Stefano Ermon, Jure Leskovec:
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. AAAI 2024: 320-328- [c256]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR 2024 - [c255]Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun:
Context-Aware Meta-Learning. ICLR 2024 - [c254]Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec:
Compositional Generative Inverse Design. ICLR 2024 - [c253]Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou:
Large Language Models as Analogical Reasoners. ICLR 2024 - [c252]Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. ICML 2024 - [c251]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. ICML 2024 - [c250]Qian Huang, Jian Vora, Percy Liang, Jure Leskovec:
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation. ICML 2024 - [c249]Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar:
Equivariant Graph Neural Operator for Modeling 3D Dynamics. ICML 2024 - [i224]Paridhi Maheshwari, Hongyu Ren, Yanan Wang, Rok Sosic, Jure Leskovec:
TimeGraphs: Graph-based Temporal Reasoning. CoRR abs/2401.03134 (2024) - [i223]Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar:
Equivariant Graph Neural Operator for Modeling 3D Dynamics. CoRR abs/2401.11037 (2024) - [i222]Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec:
Compositional Generative Inverse Design. CoRR abs/2401.13171 (2024) - [i221]Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec:
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. CoRR abs/2402.08383 (2024) - [i220]Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec:
Representation Learning for Frequent Subgraph Mining. CoRR abs/2402.14367 (2024) - [i219]Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. CoRR abs/2402.18697 (2024) - [i218]Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey:
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. CoRR abs/2404.00776 (2024) - [i217]Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying:
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR abs/2404.01340 (2024) - [i216]Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec:
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR abs/2404.13207 (2024) - [i215]Yusuf H. Roohani, Jian Vora, Qian Huang, Zachary Steinhart, Alexander Marson, Percy Liang, Jure Leskovec:
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. CoRR abs/2405.17631 (2024) - [i214]Jialiang Xu, Michael Moor, Jure Leskovec:
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs. CoRR abs/2405.18740 (2024) - [i213]Tim Althoff, Boris Ivanovic, Jennifer L. Hicks, Scott L. Delp, Abby C. King, Jure Leskovec:
Countrywide natural experiment reveals impact of built environment on physical activity. CoRR abs/2406.04557 (2024) - [i212]Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou:
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR abs/2406.11200 (2024) - [i211]Siyi Gu, Minkai Xu, Alexander S. Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon:
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization. CoRR abs/2407.01648 (2024) - [i210]Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Alex Luo, Raj Palleti, Jure Leskovec:
Learning production functions for supply chains with graph neural networks. CoRR abs/2407.18772 (2024) - [i209]Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec:
RelBench: A Benchmark for Deep Learning on Relational Databases. CoRR abs/2407.20060 (2024) - [i208]Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec:
LLMs generate structurally realistic social networks but overestimate political homophily. CoRR abs/2408.16629 (2024) - [i207]Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake:
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. CoRR abs/2409.11654 (2024) - [i206]Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec:
TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation. CoRR abs/2410.20626 (2024) - [i205]Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat:
Energy-Based Diffusion Language Models for Text Generation. CoRR abs/2410.21357 (2024) - [i204]Jiaqi Han, Mingjian Jiang, Yuxuan Song, Jure Leskovec, Stefano Ermon, Minkai Xu:
f-PO: Generalizing Preference Optimization with f-divergence Minimization. CoRR abs/2410.21662 (2024) - [i203]Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Dong Wang, Manan Shah, Shenyang Huang, Blaz Stojanovic, Alan Krumholz, Jan Eric Lenssen, Jure Leskovec, Matthias Fey:
ContextGNN: Beyond Two-Tower Recommendation Systems. CoRR abs/2411.19513 (2024) - [i202]Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan:
Hybrid Forecasting of Geopolitical Events. CoRR abs/2412.10981 (2024) - 2023
- [j44]Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan:
Hybrid forecasting of geopolitical events†. AI Mag. 44(1): 112-128 (2023) - [j43]Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen:
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. J. Biomed. Informatics 143: 104407 (2023) - [j42]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [j41]Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec:
Human mobility networks reveal increased segregation in large cities. Nat. 624(7992): 586-592 (2023) - [j40]Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian:
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. IEEE Trans. Multim. 25: 942-952 (2023) - [c248]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. AAAI 2023: 14161-14169 - [c247]Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec:
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. ICCV 2023: 21525-21535 - [c246]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR 2023 - [c245]Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec:
Learning Controllable Adaptive Simulation for Multi-resolution Physics. ICLR 2023 - [c244]Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec:
Geometric Latent Diffusion Models for 3D Molecule Generation. ICML 2023: 38592-38610 - [c243]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih:
Retrieval-Augmented Multimodal Language Modeling. ICML 2023: 39755-39769 - [c242]Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon:
Graph and Geometry Generative Modeling for Drug Discovery. KDD 2023: 5833-5834 - [c241]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar:
Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS 2023: 353-367 - [c240]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS 2023 - [c239]Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec:
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. NeurIPS 2023 - [c238]Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS 2023 - [c237]Qian Huang, Hongyu Ren, Peng Chen, Gregor Krzmanc, Daniel Zeng, Percy Liang, Jure Leskovec:
PRODIGY: Enabling In-context Learning Over Graphs. NeurIPS 2023 - [c236]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-to-Image Models. NeurIPS 2023 - [c235]Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup:
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS 2023 - [c234]Hamed Nilforoshan, Michael Moor, Yusuf H. Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec:
Zero-shot causal learning. NeurIPS 2023 - [c233]Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec:
High dimensional, tabular deep learning with an auxiliary knowledge graph. NeurIPS 2023 - [c232]Jure Leskovec:
Databases as Graphs: Predictive Queries for Declarative Machine Learning. PODS 2023: 1 - [d1]Yanay Rosen, Yusuf H. Roohani, Maria Brbic, Kyle Swanson, Ziang Li, Jure Leskovec:
Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN. Zenodo, 2023
- [i201]Hamed Nilforoshan, Michael Moor, Yusuf H. Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec:
Zero-shot causal learning. CoRR abs/2301.12292 (2023) - [i200]Christopher Fifty, Joseph M. Paggi, Ehsan Amid, Jure Leskovec, Ron O. Dror:
Harnessing Simulation for Molecular Embeddings. CoRR abs/2302.02055 (2023) - [i199]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR abs/2303.07666 (2023) - [i198]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR abs/2303.07669 (2023) - [i197]Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec:
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR abs/2303.14617 (2023) - [i196]Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup:
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR abs/2304.14274 (2023) - [i195]Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec:
Learning Controllable Adaptive Simulation for Multi-resolution Physics. CoRR abs/2305.01122 (2023) - [i194]Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec:
Geometric Latent Diffusion Models for 3D Molecule Generation. CoRR abs/2305.01140 (2023) - [i193]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. CoRR abs/2305.12322 (2023) - [i192]Qian Huang, Hongyu Ren, Peng Chen, Gregor Krzmanc, Daniel Zeng, Percy Liang, Jure Leskovec:
PRODIGY: Enabling In-context Learning Over Graphs. CoRR abs/2305.12600 (2023) - [i191]Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec:
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. CoRR abs/2305.14535 (2023) - [i190]Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec:
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph. CoRR abs/2306.04766 (2023) - [i189]Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR abs/2307.01026 (2023) - [i188]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i187]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec:
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR abs/2307.15189 (2023) - [i186]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR abs/2308.02117 (2023) - [i185]Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec:
Communication-Free Distributed GNN Training with Vertex Cut. CoRR abs/2308.03209 (2023) - [i184]Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou:
Large Language Models as Analogical Reasoners. CoRR abs/2310.01714 (2023) - [i183]Qian Huang, Jian Vora, Percy Liang, Jure Leskovec:
Benchmarking Large Language Models As AI Research Agents. CoRR abs/2310.03302 (2023) - [i182]Christopher Fifty, Jure Leskovec, Sebastian Thrun:
In-Context Learning for Few-Shot Molecular Property Prediction. CoRR abs/2310.08863 (2023) - [i181]Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun:
Context-Aware Meta-Learning. CoRR abs/2310.10971 (2023) - [i180]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-To-Image Models. CoRR abs/2311.04287 (2023) - [i179]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR abs/2312.04615 (2023) - [i178]Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec:
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR abs/2312.04693 (2023) - 2022
- [j39]Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 723-726 (2022) - [j38]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. Proc. VLDB Endow. 16(4): 781-789 (2022) - [j37]Hongwei Wang, Jure Leskovec:
Combining Graph Convolutional Neural Networks and Label Propagation. ACM Trans. Inf. Syst. 40(4): 73:1-73:27 (2022) - [c231]Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe:
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. AAAI 2022: 12573-12579 - [c230]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LinkBERT: Pretraining Language Models with Document Links. ACL (1) 2022: 8003-8016 - [c229]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models. ICLR 2022 - [c228]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. ICLR 2022 - [c227]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR 2022 - [c226]Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 2022 - [c225]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans:
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. KDD 2022: 1472-1482 - [c224]Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. KDD 2022: 2358-2366 - [c223]Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. KDD 2022: 2703-2711 - [c222]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. KDD 2022: 3018-3028 - [c221]Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
PinnerFormer: Sequence Modeling for User Representation at Pinterest. KDD 2022: 3702-3712 - [c220]Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec:
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. KDD 2022: 4184-4194 - [c219]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. LoG 2022: 10 - [c218]Qian Huang, Hongyu Ren, Jure Leskovec:
Few-shot Relational Reasoning via Connection Subgraph Pretraining. NeurIPS 2022 - [c217]Tailin Wu, Takashi Maruyama, Jure Leskovec:
Learning to Accelerate Partial Differential Equations via Latent Global Evolution. NeurIPS 2022 - [c216]Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec:
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. NeurIPS 2022 - [c215]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS 2022 - [c214]Alexandra M. Porter, Baharan Mirzasoleiman, Jure Leskovec:
Analytical Models for Motifs in Temporal Networks. WWW (Companion Volume) 2022: 903-909 - [i177]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR abs/2201.08860 (2022) - [i176]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LinkBERT: Pretraining Language Models with Document Links. CoRR abs/2203.15827 (2022) - [i175]Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec:
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. CoRR abs/2203.16162 (2022) - [i174]Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
PinnerFormer: Sequence Modeling for User Representation at Pinterest. CoRR abs/2205.04507 (2022) - [i173]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. CoRR abs/2205.10666 (2022) - [i172]Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec:
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. CoRR abs/2205.11501 (2022) - [i171]Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. CoRR abs/2205.11728 (2022) - [i170]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. CoRR abs/2206.03040 (2022) - [i169]Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec:
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. CoRR abs/2206.07680 (2022) - [i168]Tailin Wu, Takashi Maruyama, Jure Leskovec:
Learning to Accelerate Partial Differential Equations via Latent Global Evolution. CoRR abs/2206.07681 (2022) - [i167]Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec:
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. CoRR abs/2206.15049 (2022) - [i166]Daniel Zeng, Tailin Wu, Jure Leskovec:
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. CoRR abs/2207.00590 (2022) - [i165]Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. CoRR abs/2208.07239 (2022) - [i164]Qian Huang, Hongyu Ren, Jure Leskovec:
Few-shot Relational Reasoning via Connection Subgraph Pretraining. CoRR abs/2210.06722 (2022) - [i163]Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec:
Human interaction networks reveal that large cities facilitate segregation. CoRR abs/2210.07414 (2022) - [i162]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR abs/2210.09338 (2022) - [i161]Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying:
Efficient Automatic Machine Learning via Design Graphs. CoRR abs/2210.12257 (2022) - [i160]Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec:
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR abs/2210.14843 (2022) - [i159]Mathieu Chevalley, Yusuf H. Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab:
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR abs/2210.17283 (2022) - [i158]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
Retrieval-Augmented Multimodal Language Modeling. CoRR abs/2211.12561 (2022) - [i157]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. CoRR abs/2212.03978 (2022) - [i156]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks. CoRR abs/2212.06224 (2022) - 2021
- [j36]Róbert Pálovics, Primoz Dolenc, Jure Leskovec:
Companies under stress: the impact of shocks on the production network. EPJ Data Sci. 10(1): 57 (2021) - [j35]Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec:
Mobility network models of COVID-19 explain inequities and inform reopening. Nat. 589(7840): 82-87 (2021) - [j34]Robert West, Jure Leskovec, Christopher Potts:
Postmortem memory of public figures in news and social media. Proc. Natl. Acad. Sci. USA 118(38): e2106152118 (2021) - [j33]Aljaz Kosmerlj, Marko Grobelnik, Jure Leskovec:
Report on the 30th the web conference 2021 (TheWebConf2021). SIGIR Forum 55(1): 12:1-12:9 (2021) - [c213]Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. AAAI 2021: 10737-10745 - [c212]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LM-Critic: Language Models for Unsupervised Grammatical Error Correction. EMNLP (1) 2021: 7752-7763 - [c211]Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Few-Shot Learning. ICLR 2021 - [c210]Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li:
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. ICLR 2021 - [c209]Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann:
Language-Agnostic Representation Learning of Source Code from Structure and Context. ICLR 2021 - [c208]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. ICML 2021: 3294-3304 - [c207]Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 2021: 5637-5664 - [c206]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou:
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. ICML 2021: 8959-8970 - [c205]Srijan Kumar, Chongyang Bai, V. S. Subrahmanian, Jure Leskovec:
Deception Detection in Group Video Conversations using Dynamic Interaction Networks. ICWSM 2021: 339-350 - [c204]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Multi-hop Attention Graph Neural Networks. IJCAI 2021: 3089-3096 - [c203]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN 2021: 1-8 - [c202]Hongwei Wang, Hongyu Ren, Jure Leskovec:
Relational Message Passing for Knowledge Graph Completion. KDD 2021: 1697-1707 - [c201]Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec:
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD 2021: 2632-2642 - [c200]Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Bipartite Dynamic Representations for Abuse Detection. KDD 2021: 3638-3648 - [c199]Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. NAACL-HLT 2021: 535-546 - [c198]Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec:
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. NeurIPS 2021: 12316-12327 - [c197]Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. NeurIPS 2021: 18539-18551 - [c196]Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec:
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. NeurIPS Datasets and Benchmarks 2021 - [c195]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks 2021 - [c194]Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai:
Combiner: Full Attention Transformer with Sparse Computation Cost. NeurIPS 2021: 22470-22482 - [c193]Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec:
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. WSDM 2021: 589-597 - [c192]Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec:
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. WWW 2021: 693-705 - [e5]Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8312-7 [contents] - [e4]Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8313-4 [contents] - [i155]Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li:
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. CoRR abs/2101.05974 (2021) - [i154]Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. CoRR abs/2101.10320 (2021) - [i153]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. CoRR abs/2102.03526 (2021) - [i152]Jingbo Yang, Ruge Zhao, Meixian Zhu, David Hallac, Jaka Sodnik, Jure Leskovec:
Driver2vec: Driver Identification from Automotive Data. CoRR abs/2102.05234 (2021) - [i151]Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec:
Model-Agnostic Graph Regularization for Few-Shot Learning. CoRR abs/2102.07077 (2021) - [i150]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR abs/2102.09548 (2021) - [i149]Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick:
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. CoRR abs/2103.01436 (2021) - [i148]Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec:
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. CoRR abs/2103.09430 (2021) - [i147]Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann:
Language-Agnostic Representation Learning of Source Code from Structure and Context. CoRR abs/2103.11318 (2021) - [i146]Robert West, Jure Leskovec, Christopher Potts:
Post-mortem memory of public figures in news and social media. CoRR abs/2103.15497 (2021) - [i145]Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. CoRR abs/2104.06378 (2021) - [i144]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. CoRR abs/2106.05609 (2021) - [i143]Srijan Kumar, Chongyang Bai, V. S. Subrahmanian, Jure Leskovec:
Deception Detection in Group Video Conversations using Dynamic Interaction Networks. CoRR abs/2106.06163 (2021) - [i142]Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai:
Combiner: Full Attention Transformer with Sparse Computation Cost. CoRR abs/2107.05768 (2021) - [i141]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LM-Critic: Language Models for Unsupervised Grammatical Error Correction. CoRR abs/2109.06822 (2021) - [i140]Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. CoRR abs/2109.09740 (2021) - [i139]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans:
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. CoRR abs/2110.14890 (2021) - [i138]Yushi Bai, Rex Ying, Hongyu Ren, Jure Leskovec:
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. CoRR abs/2110.14923 (2021) - [i137]Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR abs/2112.05090 (2021) - [i136]Alexandra M. Porter, Baharan Mirzasoleiman, Jure Leskovec:
Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies. CoRR abs/2112.14871 (2021) - 2020
- [c191]Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia:
Selection via Proxy: Efficient Data Selection for Deep Learning. ICLR 2020 - [c190]Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec:
Strategies for Pre-training Graph Neural Networks. ICLR 2020 - [c189]Hongyu Ren, Weihua Hu, Jure Leskovec:
Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. ICLR 2020 - [c188]Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec:
Coresets for Data-efficient Training of Machine Learning Models. ICML 2020: 6950-6960 - [c187]Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia:
Learning to Simulate Complex Physics with Graph Networks. ICML 2020: 8459-8468 - [c186]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. ICML 2020: 10881-10891 - [c185]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation for Graph Neural Networks. KDD 2020: 997-1005 - [c184]Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec:
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. KDD 2020: 2311-2320 - [c183]Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec:
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. KDD 2020: 2434-2443 - [c182]Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec:
Open Graph Benchmark: Datasets for Machine Learning on Graphs. NeurIPS 2020 - [c181]Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec:
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning. NeurIPS 2020 - [c180]Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec:
Coresets for Robust Training of Deep Neural Networks against Noisy Labels. NeurIPS 2020 - [c179]Hongyu Ren, Jure Leskovec:
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs. NeurIPS 2020 - [c178]Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec:
Graph Information Bottleneck. NeurIPS 2020 - [c177]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. NeurIPS 2020 - [c176]Jiaxuan You, Zhitao Ying, Jure Leskovec:
Design Space for Graph Neural Networks. NeurIPS 2020 - [c175]Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg:
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. UAI 2020: 1378-1387 - [c174]Emaad A. Manzoor, Rui Li, Dhananjay Shrouty, Jure Leskovec:
Expanding Taxonomies with Implicit Edge Semantics. WWW 2020: 2044-2054 - [i135]Hongyu Ren, Weihua Hu, Jure Leskovec:
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings. CoRR abs/2002.05969 (2020) - [i134]Hongwei Wang, Jure Leskovec:
Unifying Graph Convolutional Neural Networks and Label Propagation. CoRR abs/2002.06755 (2020) - [i133]Hongwei Wang, Hongyu Ren, Jure Leskovec:
Entity Context and Relational Paths for Knowledge Graph Completion. CoRR abs/2002.06757 (2020) - [i132]Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia:
Learning to Simulate Complex Physics with Graph Networks. CoRR abs/2002.09405 (2020) - [i131]Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec:
Open Graph Benchmark: Datasets for Machine Learning on Graphs. CoRR abs/2005.00687 (2020) - [i130]Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian:
M2P2: Multimodal Persuasion Prediction using Adaptive Fusion. CoRR abs/2006.11405 (2020) - [i129]Abhijit Mahabal, Yinrui Li, Rajat Raina, Daniel Sun, Revati Mahajan, Jure Leskovec:
Improving Query Safety at Pinterest. CoRR abs/2006.11511 (2020) - [i128]Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec:
Neural Subgraph Matching. CoRR abs/2007.03092 (2020) - [i127]Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec:
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. CoRR abs/2007.03634 (2020) - [i126]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. CoRR abs/2007.06559 (2020) - [i125]Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Generalizable Few-Shot Learning. CoRR abs/2007.07375 (2020) - [i124]Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg:
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. CoRR abs/2008.07087 (2020) - [i123]Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec:
Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. CoRR abs/2009.00142 (2020) - [i122]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. CoRR abs/2009.09263 (2020) - [i121]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Direct Multi-hop Attention based Graph Neural Network. CoRR abs/2009.14332 (2020) - [i120]Hongyu Ren, Jure Leskovec:
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs. CoRR abs/2010.11465 (2020) - [i119]Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec:
Graph Information Bottleneck. CoRR abs/2010.12811 (2020) - [i118]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. CoRR abs/2010.16418 (2020) - [i117]Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec:
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. CoRR abs/2011.04723 (2020) - [i116]Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec:
Coresets for Robust Training of Neural Networks against Noisy Labels. CoRR abs/2011.07451 (2020) - [i115]Jiaxuan You, Rex Ying, Jure Leskovec:
Design Space for Graph Neural Networks. CoRR abs/2011.08843 (2020) - [i114]Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR abs/2012.07421 (2020)
2010 – 2019
- 2019
- [j32]Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman:
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities. Inf. Fusion 50: 71-91 (2019) - [j31]Jennifer L. Hicks, Tim Althoff, Rok Sosic, Peter Kuhar, Bojan Bostjancic, Abby C. King, Jure Leskovec, Scott L. Delp:
Best practices for analyzing large-scale health data from wearables and smartphone apps. npj Digit. Medicine 2 (2019) - [j30]Rok Sosic, Rayid Ghani, Jure Leskovec:
SIGKDD Impact Program 2018. SIGKDD Explor. 21(1): 36-37 (2019) - [c173]Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec:
Faithful and Customizable Explanations of Black Box Models. AIES 2019: 131-138 - [c172]Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang:
Inferring Multidimensional Rates of Aging from Cross-Sectional Data. AISTATS 2019: 97-107 - [c171]Dorna Bandari, Shuo Xiang, Jolie Martin, Jure Leskovec:
Categorizing User Sessions at Pinterest. BigComp 2019: 1-8 - [c170]Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-Based Complementary Product Recommendation. CVPR 2019: 10532-10541 - [c169]Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka:
How Powerful are Graph Neural Networks? ICLR 2019 - [c168]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. ICML 2019: 7134-7143 - [c167]Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam J. Metzger, Jay F. Nunamaker Jr., V. S. Subrahmanian:
Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. IJCAI 2019: 4504-4510 - [c166]Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian:
Predicting dominance in multi-person videos. IJCAI 2019: 4643-4650 - [c165]Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas:
SAGE: A Hybrid Geopolitical Event Forecasting System. IJCAI 2019: 6557-6559 - [c164]Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang:
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. KDD 2019: 968-977 - [c163]Srijan Kumar, Xikun Zhang, Jure Leskovec:
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. KDD 2019: 1269-1278 - [c162]Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. NeurIPS 2019: 4869-4880 - [c161]Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNNExplainer: Generating Explanations for Graph Neural Networks. NeurIPS 2019: 9240-9251 - [c160]Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec:
G2SAT: Learning to Generate SAT Formulas. NeurIPS 2019: 10552-10563 - [c159]Hao Yin, Austin R. Benson, Jure Leskovec:
The Local Closure Coefficient: A New Perspective On Network Clustering. WSDM 2019: 303-311 - [c158]Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. WWW 2019: 571-582 - [c157]Denny Vrandecic, Jure Leskovec:
The First International Workshop on Knowledge Graph Technology and Applications. WWW (Companion Volume) 2019: 674 - [c156]Jie Tang, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf:
Panel: Computational Methods about Knowledge Graph. WWW (Companion Volume) 2019: 677 - [c155]Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec:
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. WWW 2019: 2236-2246 - [c154]Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec:
Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. WWW 2019: 2999-3005 - [i113]Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. CoRR abs/1903.03894 (2019) - [i112]Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. CoRR abs/1904.02813 (2019) - [i111]Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec:
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. CoRR abs/1904.04381 (2019) - [i110]Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang:
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. CoRR abs/1905.04413 (2019) - [i109]Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec:
Pre-training Graph Neural Networks. CoRR abs/1905.12265 (2019) - [i108]Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec:
Data Sketching for Faster Training of Machine Learning Models. CoRR abs/1906.01827 (2019) - [i107]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation Graphs for Graph Neural Networks. CoRR abs/1906.03707 (2019) - [i106]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. CoRR abs/1906.04817 (2019) - [i105]Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia:
Selection Via Proxy: Efficient Data Selection For Deep Learning. CoRR abs/1906.11829 (2019) - [i104]Srijan Kumar, Xikun Zhang, Jure Leskovec:
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. CoRR abs/1908.01207 (2019) - [i103]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Improving Graph Attention Networks with Large Margin-based Constraints. CoRR abs/1910.11945 (2019) - [i102]Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. CoRR abs/1910.12933 (2019) - [i101]Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec:
G2SAT: Learning to Generate SAT Formulas. CoRR abs/1910.13445 (2019) - 2018
- [j29]Marinka Zitnik, Monica Agrawal, Jure Leskovec:
Modeling polypharmacy side effects with graph convolutional networks. Bioinform. 34(13): i457-i466 (2018) - [c153]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML 2018: 5694-5703 - [c152]Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone:
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. ICRA 2018: 1-7 - [c151]Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic:
Do Diffusion Protocols Govern Cascade Growth? ICWSM 2018: 32-41 - [c150]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. IJCAI 2018: 5254-5258 - [c149]David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec:
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. ITSC 2018: 3233-3238 - [c148]Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. KDD 2018: 974-983 - [c147]Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec:
Learning Structural Node Embeddings via Diffusion Wavelets. KDD 2018: 1320-1329 - [c146]William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Embedding Logical Queries on Knowledge Graphs. NeurIPS 2018: 2030-2041 - [c145]Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS 2018: 4805-4815 - [c144]Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. NeurIPS 2018: 6412-6422 - [c143]Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec:
Dynamic Network Model from Partial Observations. NeurIPS 2018: 9884-9894 - [c142]Monica Agrawal, Marinka Zitnik, Jure Leskovec:
Large-scale analysis of disease pathways in the human interactome. PSB 2018: 111-122 - [c141]Srijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, Jure Leskovec:
MIS2: Misinformation and Misbehavior Mining on the Web. WSDM 2018: 799-800 - [c140]Emma Pierson, Tim Althoff, Jure Leskovec:
Modeling Individual Cyclic Variation in Human Behavior. WWW 2018: 107-116 - [c139]Takeshi Kurashima, Tim Althoff, Jure Leskovec:
Modeling Interdependent and Periodic Real-World Action Sequences. WWW 2018: 803-812 - [c138]Davood Rafiei, Eugene Agichtein, Ricardo Baeza-Yates, Jon M. Kleinberg, Jure Leskovec:
The Shifting Landscape of Web Search and Mining: Past, Present, and Future. WWW (Companion Volume) 2018: 881 - [c137]Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Community Interaction and Conflict on the Web. WWW 2018: 933-943 - [c136]Zhiyuan Lin, Tim Althoff, Jure Leskovec:
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. WWW 2018: 1501-1511 - [c135]Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec:
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. WWW 2018: 1775-1784 - [c134]Robert West, Leila Zia, Dario Taraborelli, Jure Leskovec:
Welcome on Behalf of the Wiki Workshop Chairs & Organization. WWW (Companion Volume) 2018: 1777-1778 - [i100]Marinka Zitnik, Monica Agrawal, Jure Leskovec:
Modeling polypharmacy side effects with graph convolutional networks. CoRR abs/1802.00543 (2018) - [i99]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: A Deep Generative Model for Graphs. CoRR abs/1802.08773 (2018) - [i98]Zhiyuan Lin, Tim Althoff, Jure Leskovec:
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. CoRR abs/1802.08972 (2018) - [i97]Takeshi Kurashima, Tim Althoff, Jure Leskovec:
Modeling Interdependent and Periodic Real-World Action Sequences. CoRR abs/1802.09148 (2018) - [i96]Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Community Interaction and Conflict on the Web. CoRR abs/1803.03697 (2018) - [i95]Marinka Zitnik, Rok Sosic, Jure Leskovec:
Prioritizing network communities. CoRR abs/1805.02411 (2018) - [i94]Bo Wang, Armin Pourshafeie, Marinka Zitnik, Junjie Zhu, Carlos D. Bustamante, Serafim Batzoglou, Jure Leskovec:
Network Enhancement: a general method to denoise weighted biological networks. CoRR abs/1805.03327 (2018) - [i93]Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic:
Do Diffusion Protocols Govern Cascade Growth? CoRR abs/1805.07368 (2018) - [i92]Elahe Ghalebi K., Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec:
Dynamic Network Model from Partial Observations. CoRR abs/1805.10616 (2018) - [i91]William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Querying Complex Networks in Vector Space. CoRR abs/1806.01445 (2018) - [i90]Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. CoRR abs/1806.01973 (2018) - [i89]Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. CoRR abs/1806.02473 (2018) - [i88]David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec:
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. CoRR abs/1806.04795 (2018) - [i87]Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR abs/1806.08804 (2018) - [i86]Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman:
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities. CoRR abs/1807.00123 (2018) - [i85]Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang:
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data. CoRR abs/1807.04709 (2018) - [i84]Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec:
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. CoRR abs/1809.01819 (2018) - [i83]Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka:
How Powerful are Graph Neural Networks? CoRR abs/1810.00826 (2018) - [i82]Piotr Sapiezynski, Arkadiusz Stopczynski, David Kofoed Wind, Jure Leskovec, Sune Lehmann:
Offline Behaviors of Online Friends. CoRR abs/1811.03153 (2018) - [i81]Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-based Complementary Product Recommendation. CoRR abs/1812.01748 (2018) - [i80]Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec:
Predicting pregnancy using large-scale data from a women's health tracking mobile application. CoRR abs/1812.02222 (2018) - [i79]Srijan Kumar, Xikun Zhang, Jure Leskovec:
Learning Dynamic Embeddings from Temporal Interactions. CoRR abs/1812.02289 (2018) - 2017
- [j28]Marinka Zitnik, Jure Leskovec:
Predicting multicellular function through multi-layer tissue networks. Bioinform. 33(14): i190-i198 (2017) - [j27]William L. Hamilton, Rex Ying, Jure Leskovec:
Representation Learning on Graphs: Methods and Applications. IEEE Data Eng. Bull. 40(3): 52-74 (2017) - [j26]Piotr Sapiezynski, Arkadiusz Stopczynski, David Kofoed Wind, Jure Leskovec, Sune Lehmann:
Inferring Person-to-person Proximity Using WiFi Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 24:1-24:20 (2017) - [j25]David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosic, Stephen P. Boyd, Jure Leskovec:
SnapVX: A Network-Based Convex Optimization Solver. J. Mach. Learn. Res. 18: 4:1-4:5 (2017) - [c133]Youngsuk Park, David Hallac, Stephen P. Boyd, Jure Leskovec:
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. AISTATS 2017: 1302-1310 - [c132]Jure Leskovec:
Large-scale graph representation learning. IEEE BigData 2017: 4 - [c131]Minkyoung Kim, Daniel A. McFarland, Jure Leskovec:
Modeling Affinity based Popularity Dynamics. CIKM 2017: 477-486 - [c130]Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CSCW 2017: 1217-1230 - [c129]Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Community Identity and User Engagement in a Multi-Community Landscape. ICWSM 2017: 377-386 - [c128]William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Loyalty in Online Communities. ICWSM 2017: 540-543 - [c127]David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec:
Network Inference via the Time-Varying Graphical Lasso. KDD 2017: 205-213 - [c126]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. KDD 2017: 215-223 - [c125]Himabindu Lakkaraju, Jon M. Kleinberg, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan:
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables. KDD 2017: 275-284 - [c124]Hao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich:
Local Higher-Order Graph Clustering. KDD 2017: 555-564 - [c123]William L. Hamilton, Zhitao Ying, Jure Leskovec:
Inductive Representation Learning on Large Graphs. NIPS 2017: 1024-1034 - [c122]Tim Althoff, Pranav Jindal, Jure Leskovec:
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. WSDM 2017: 537-546 - [c121]Ashwin Paranjape, Austin R. Benson, Jure Leskovec:
Motifs in Temporal Networks. WSDM 2017: 601-610 - [c120]Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec:
How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. WWW (Companion Volume) 2017: 455-463 - [c119]Caroline Lo, Justin Cheng, Jure Leskovec:
Understanding Online Collection Growth Over Time: A Case Study of Pinterest. WWW (Companion Volume) 2017: 545-554 - [c118]Justin Cheng, Caroline Lo, Jure Leskovec:
Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior. WWW (Companion Volume) 2017: 593-601 - [c117]Srijan Kumar, Justin Cheng, Jure Leskovec, V. S. Subrahmanian:
An Army of Me: Sockpuppets in Online Discussion Communities. WWW 2017: 857-866 - [c116]Srijan Kumar, Justin Cheng, Jure Leskovec:
Antisocial Behavior on the Web: Characterization and Detection. WWW (Companion Volume) 2017: 947-950 - [c115]Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec:
Why We Read Wikipedia. WWW 2017: 1591-1600 - [i78]Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CoRR abs/1702.01119 (2017) - [i77]Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec:
Why We Read Wikipedia. CoRR abs/1702.05379 (2017) - [i76]Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec:
How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. CoRR abs/1702.07437 (2017) - [i75]David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec:
Network Inference via the Time-Varying Graphical Lasso. CoRR abs/1703.01958 (2017) - [i74]William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Loyalty in Online Communities. CoRR abs/1703.03386 (2017) - [i73]Srijan Kumar, Justin Cheng, Jure Leskovec, V. S. Subrahmanian:
An Army of Me: Sockpuppets in Online Discussion Communities. CoRR abs/1703.07355 (2017) - [i72]Dorna Bandari, Shuo Xiang, Jure Leskovec:
Categorizing User Sessions at Pinterest. CoRR abs/1703.09662 (2017) - [i71]Hao Yin, Austin R. Benson, Jure Leskovec:
Higher-order clustering in networks. CoRR abs/1704.03913 (2017) - [i70]Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Community Identity and User Engagement in a Multi-Community Landscape. CoRR abs/1705.09665 (2017) - [i69]William L. Hamilton, Rex Ying, Jure Leskovec:
Inductive Representation Learning on Large Graphs. CoRR abs/1706.02216 (2017) - [i68]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. CoRR abs/1706.03161 (2017) - [i67]Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec:
Interpretable & Explorable Approximations of Black Box Models. CoRR abs/1707.01154 (2017) - [i66]Marinka Zitnik, Jure Leskovec:
Predicting multicellular function through multi-layer tissue networks. CoRR abs/1707.04638 (2017) - [i65]David Hallac, Abhijit Sharang, Rainer Stahlmann, Andreas Lamprecht, Markus Huber, Martin Roehder, Rok Sosic, Jure Leskovec:
Driver Identification Using Automobile Sensor Data from a Single Turn. CoRR abs/1708.04636 (2017) - [i64]William L. Hamilton, Rex Ying, Jure Leskovec:
Representation Learning on Graphs: Methods and Applications. CoRR abs/1709.05584 (2017) - [i63]Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone:
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. CoRR abs/1709.07032 (2017) - [i62]Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec:
Spectral Graph Wavelets for Structural Role Similarity in Networks. CoRR abs/1710.10321 (2017) - [i61]Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec:
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. CoRR abs/1711.07601 (2017) - [i60]Monica Agrawal, Marinka Zitnik, Jure Leskovec:
Large-scale analysis of disease pathways in the human interactome. CoRR abs/1712.00843 (2017) - [i59]Emma Pierson, Tim Althoff, Jure Leskovec:
Modeling Individual Cyclic Variation in Human Behavior. CoRR abs/1712.05748 (2017) - 2016
- [j24]Tim Althoff, Kevin Clark, Jure Leskovec:
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. Trans. Assoc. Comput. Linguistics 4: 463-476 (2016) - [j23]Jure Leskovec, Rok Sosic:
SNAP: A General-Purpose Network Analysis and Graph-Mining Library. ACM Trans. Intell. Syst. Technol. 8(1): 1:1-1:20 (2016) - [j22]Wei Wang, Jure Leskovec:
Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014. ACM Trans. Knowl. Discov. Data 10(4): 33:1-33:2 (2016) - [c114]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. ACL (1) 2016 - [c113]Alex Wang, William L. Hamilton, Jure Leskovec:
Learning Linguistic Descriptors of User Roles in Online Communities. NLP+CSS@EMNLP 2016: 76-85 - [c112]William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky:
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. EMNLP 2016: 595-605 - [c111]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. EMNLP 2016: 2116-2121 - [c110]David Hallac, Abhijit Sharang, Rainer Stahlmann, Andreas Lamprecht, Markus Huber, Martin Roehder, Rok Sosic, Jure Leskovec:
Driver identification using automobile sensor data from a single turn. ITSC 2016: 953-958 - [c109]Caroline Lo, Dan Frankowski, Jure Leskovec:
Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest. KDD 2016: 531-540 - [c108]Aditya Grover, Jure Leskovec:
node2vec: Scalable Feature Learning for Networks. KDD 2016: 855-864 - [c107]Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec:
Interpretable Decision Sets: A Joint Framework for Description and Prediction. KDD 2016: 1675-1684 - [c106]Himabindu Lakkaraju, Jure Leskovec:
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making. NIPS 2016: 3261-3269 - [c105]Jure Leskovec:
Beyond nodes and edges: multiresolution algorithms for network data. NDA@SIGMOD 2016: 1:1 - [c104]Siddharth Krishnan, Patrick Butler, Ravi Tandon, Jure Leskovec, Naren Ramakrishnan:
Seeing the forest for the trees: new approaches to forecasting cascades. WebSci 2016: 249-258 - [c103]Ashwin Paranjape, Robert West, Leila Zia, Jure Leskovec:
Improving Website Hyperlink Structure Using Server Logs. WSDM 2016: 615-624 - [c102]Srijan Kumar, Robert West, Jure Leskovec:
Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes. WWW 2016: 591-602 - [c101]Justin Cheng, Lada A. Adamic, Jon M. Kleinberg, Jure Leskovec:
Do Cascades Recur? WWW 2016: 671-681 - [c100]Ellery Wulczyn, Robert West, Leila Zia, Jure Leskovec:
Growing Wikipedia Across Languages via Recommendation. WWW 2016: 975-985 - [e3]Robert West, Leila Zia, Dario Taraborelli, Jure Leskovec:
Wiki, Papers from the 2016 ICWSM Workshop, Cologne, Germany, May 17, 2016. AAAI Technical Report WS-16-17, AAAI Press 2016, ISBN 978-1-57735-768-1 [contents] - [i58]Justin Cheng, Lada A. Adamic, Jon M. Kleinberg, Jure Leskovec:
Do Cascades Recur? CoRR abs/1602.01107 (2016) - [i57]Ellery Wulczyn, Robert West, Leila Zia, Jure Leskovec:
Growing Wikipedia Across Languages via Recommendation. CoRR abs/1604.03235 (2016) - [i56]Tim Althoff, Kevin Clark, Jure Leskovec:
Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations. CoRR abs/1605.04462 (2016) - [i55]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. CoRR abs/1605.09096 (2016) - [i54]William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky:
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. CoRR abs/1606.02820 (2016) - [i53]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. CoRR abs/1606.02821 (2016) - [i52]Jure Leskovec, Rok Sosic:
SNAP: A General Purpose Network Analysis and Graph Mining Library. CoRR abs/1606.07550 (2016) - [i51]Aditya Grover, Jure Leskovec:
node2vec: Scalable Feature Learning for Networks. CoRR abs/1607.00653 (2016) - [i50]Piotr Sapiezynski, Arkadiusz Stopczynski, David Kofoed Wind, Jure Leskovec, Sune Lehmann:
Inferring Person-to-person Proximity Using WiFi Signals. CoRR abs/1610.04730 (2016) - [i49]Yilun Wang, Himabindu Lakkaraju, Michal Kosinski, Jure Leskovec:
Psycho-Demographic Analysis of the Facebook Rainbow Campaign. CoRR abs/1610.05358 (2016) - [i48]Tim Althoff, Pranav Jindal, Jure Leskovec:
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. CoRR abs/1612.03053 (2016) - [i47]Austin R. Benson, David F. Gleich, Jure Leskovec:
Higher-order organization of complex networks. CoRR abs/1612.08447 (2016) - [i46]Ashwin Paranjape, Austin R. Benson, Jure Leskovec:
Motifs in Temporal Networks. CoRR abs/1612.09259 (2016) - 2015
- [j21]Dafna Shahaf, Carlos Guestrin, Eric Horvitz, Jure Leskovec:
Information cartography. Commun. ACM 58(11): 62-73 (2015) - [j20]Joy P. Ku, Jennifer L. Hicks, Trevor Hastie, Jure Leskovec, Christopher Ré, Scott L. Delp:
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility. J. Am. Medical Informatics Assoc. 22(6): 1120-1125 (2015) - [j19]Jaewon Yang, Jure Leskovec:
Defining and evaluating network communities based on ground-truth. Knowl. Inf. Syst. 42(1): 181-213 (2015) - [c99]Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
Antisocial Behavior in Online Discussion Communities. ICWSM 2015: 61-70 - [c98]David Hallac, Jure Leskovec, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. KDD 2015: 387-396 - [c97]Julian J. McAuley, Rahul Pandey, Jure Leskovec:
Inferring Networks of Substitutable and Complementary Products. KDD 2015: 785-794 - [c96]Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec:
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity. KDD 2015: 1513-1522 - [c95]Austin R. Benson, David F. Gleich, Jure Leskovec:
Tensor Spectral Clustering for Partitioning Higher-order Network Structures. SDM 2015: 118-126 - [c94]Himabindu Lakkaraju, Jure Leskovec, Jon M. Kleinberg, Sendhil Mullainathan:
A Bayesian Framework for Modeling Human Evaluations. SDM 2015: 181-189 - [c93]Yonathan Perez, Rok Sosic, Arijit Banerjee, Rohan Puttagunta, Martin Raison, Pararth Shah, Jure Leskovec:
Ringo: Interactive Graph Analytics on Big-Memory Machines. SIGMOD Conference 2015: 1105-1110 - [c92]Jure Leskovec:
New Directions in Recommender Systems. WSDM 2015: 3-4 - [c91]Tim Althoff, Jure Leskovec:
Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. WWW 2015: 34-44 - [c90]Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec, Mitul Tiwari:
Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily. WWW 2015: 66-76 - [c89]Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. WWW 2015: 798-808 - [c88]Robert West, Ashwin Paranjape, Jure Leskovec:
Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia. WWW 2015: 1242-1252 - [c87]Rok Sosic, Jure Leskovec:
Large Scale Network Analytics with SNAP: Tutorial at the World Wide Web 2015 Conference. WWW (Companion Volume) 2015: 1537-1538 - [i45]Austin R. Benson, David F. Gleich, Jure Leskovec:
Tensor Spectral Clustering for Partitioning Higher-order Network Structures. CoRR abs/1502.05058 (2015) - [i44]Tim Althoff, Jure Leskovec:
Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. CoRR abs/1503.02729 (2015) - [i43]Robert West, Ashwin Paranjape, Jure Leskovec:
Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia. CoRR abs/1503.04208 (2015) - [i42]Yonathan Perez, Rok Sosic, Arijit Banerjee, Rohan Puttagunta, Martin Raison, Pararth Shah, Jure Leskovec:
Ringo: Interactive Graph Analytics on Big-Memory Machines. CoRR abs/1503.07881 (2015) - [i41]Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
Antisocial Behavior in Online Discussion Communities. CoRR abs/1504.00680 (2015) - [i40]Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. CoRR abs/1504.01383 (2015) - [i39]Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec:
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity. CoRR abs/1506.02594 (2015) - [i38]José F. Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec:
GMine: A System for Scalable, Interactive Graph Visualization and Mining. CoRR abs/1506.03847 (2015) - [i37]Julian J. McAuley, Rahul Pandey, Jure Leskovec:
Inferring Networks of Substitutable and Complementary Products. CoRR abs/1506.08839 (2015) - [i36]David Hallac, Jure Leskovec, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. CoRR abs/1507.00280 (2015) - [i35]David Hallac, Christopher Wong, Steven Diamond, Rok Sosic, Stephen P. Boyd, Jure Leskovec:
SnapVX: A Network-Based Convex Optimization Solver. CoRR abs/1509.06397 (2015) - [i34]Ashwin Paranjape, Robert West, Leila Zia, Jure Leskovec:
Improving Website Hyperlink Structure Using Server Logs. CoRR abs/1512.07258 (2015) - 2014
- [b1]Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman:
Mining of Massive Datasets, 2nd Ed. Cambridge University Press 2014, ISBN 978-1107077232 - [j18]Manuel Gomez-Rodriguez, Jure Leskovec:
Visualizing information networks: the 2011 Fukushima earthquake. AI Matters 1(1): 23-24 (2014) - [j17]Manuel Gomez-Rodriguez, Jure Leskovec, David Balduzzi, Bernhard Schölkopf:
Uncovering the structure and temporal dynamics of information propagation. Netw. Sci. 2(1): 26-65 (2014) - [j16]Jaewon Yang, Jure Leskovec:
Overlapping Communities Explain Core-Periphery Organization of Networks. Proc. IEEE 102(12): 1892-1902 (2014) - [j15]Robert West, Hristo S. Paskov, Jure Leskovec, Christopher Potts:
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis. Trans. Assoc. Comput. Linguistics 2: 297-310 (2014) - [j14]Jure Leskovec, Eric Horvitz:
Geospatial Structure of a Planetary-Scale Social Network. IEEE Trans. Comput. Soc. Syst. 1(3): 156-163 (2014) - [j13]Jaewon Yang, Jure Leskovec:
Structure and Overlaps of Ground-Truth Communities in Networks. ACM Trans. Intell. Syst. Technol. 5(2): 26:1-26:35 (2014) - [j12]Julian J. McAuley, Jure Leskovec:
Discovering social circles in ego networks. ACM Trans. Knowl. Discov. Data 8(1): 4:1-4:28 (2014) - [c86]Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
How Community Feedback Shapes User Behavior. ICWSM 2014 - [c85]Aju Thalappillil Scaria, Rose Marie Philip, Robert West, Jure Leskovec:
The last click: why users give up information network navigation. WSDM 2014: 213-222 - [c84]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Detecting cohesive and 2-mode communities indirected and undirected networks. WSDM 2014: 323-332 - [c83]Christina Brandt, Jure Leskovec:
Status and friendship: mechanisms of social network evolution. WWW (Companion Volume) 2014: 229-230 - [c82]Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec:
Engaging with massive online courses. WWW 2014: 687-698 - [c81]Jaewon Yang, Julian J. McAuley, Jure Leskovec, Paea LePendu, Nigam Shah:
Finding progression stages in time-evolving event sequences. WWW 2014: 783-794 - [c80]Seth A. Myers, Jure Leskovec:
The bursty dynamics of the Twitter information network. WWW 2014: 913-924 - [c79]Justin Cheng, Lada A. Adamic, P. Alex Dow, Jon M. Kleinberg, Jure Leskovec:
Can cascades be predicted? WWW 2014: 925-936 - [e2]Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid Ghani:
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014. ACM 2014, ISBN 978-1-4503-2956-9 [contents] - [i33]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Community Detection in Networks with Node Attributes. CoRR abs/1401.7267 (2014) - [i32]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks. CoRR abs/1401.7375 (2014) - [i31]Seth A. Myers, Jure Leskovec:
The Bursty Dynamics of the Twitter Information Network. CoRR abs/1403.2732 (2014) - [i30]Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec:
Engaging with Massive Online Courses. CoRR abs/1403.3100 (2014) - [i29]Justin Cheng, Lada A. Adamic, P. Alex Dow, Jon M. Kleinberg, Jure Leskovec:
Can Cascades be Predicted? CoRR abs/1403.4608 (2014) - [i28]Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
How Community Feedback Shapes User Behavior. CoRR abs/1405.1429 (2014) - [i27]Robert West, Hristo S. Paskov, Jure Leskovec, Christopher Potts:
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis. CoRR abs/1409.2450 (2014) - 2013
- [c78]Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts:
A computational approach to politeness with application to social factors. ACL (1) 2013: 250-259 - [c77]Paul Bennett, C. Lee Giles, Alon Y. Halevy, Jiawei Han, Marti A. Hearst, Jure Leskovec:
Channeling the deluge: research challenges for big data and information systems. CIKM 2013: 2537-2538 - [c76]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Community Detection in Networks with Node Attributes. ICDM 2013: 1151-1156 - [c75]Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf:
Modeling Information Propagation with Survival Theory. ICML (3) 2013: 666-674 - [c74]Himabindu Lakkaraju, Julian J. McAuley, Jure Leskovec:
What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media. ICWSM 2013 - [c73]Dafna Shahaf, Jaewon Yang, Caroline Suen, Jeff Jacobs, Heidi Wang, Jure Leskovec:
Information cartography: creating zoomable, large-scale maps of information. KDD 2013: 1097-1105 - [c72]Myunghwan Kim, Jure Leskovec:
Nonparametric Multi-group Membership Model for Dynamic Networks. NIPS 2013: 1385-1393 - [c71]Julian J. McAuley, Jure Leskovec:
Hidden factors and hidden topics: understanding rating dimensions with review text. RecSys 2013: 165-172 - [c70]Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf:
Structure and dynamics of information pathways in online media. WSDM 2013: 23-32 - [c69]Jaewon Yang, Jure Leskovec:
Overlapping community detection at scale: a nonnegative matrix factorization approach. WSDM 2013: 587-596 - [c68]Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec:
Steering user behavior with badges. WWW 2013: 95-106 - [c67]Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, Christopher Potts:
No country for old members: user lifecycle and linguistic change in online communities. WWW 2013: 307-318 - [c66]Julian J. McAuley, Jure Leskovec:
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews. WWW 2013: 897-908 - [c65]Jure Leskovec:
How status and reputation shape human evaluations: consequences for recommender systems. WWW (Companion Volume) 2013: 937-938 - [c64]Caroline Suen, Sandy Huang, Chantat Eksombatchai, Rok Sosic, Jure Leskovec:
NIFTY: a system for large scale information flow tracking and clustering. WWW 2013: 1237-1248 - [i26]Julian J. McAuley, Jure Leskovec:
From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews. CoRR abs/1303.4402 (2013) - [i25]Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf:
Modeling Information Propagation with Survival Theory. CoRR abs/1305.3616 (2013) - [i24]Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts:
A Computational Approach to Politeness with Application to Social Factors. CoRR abs/1306.6078 (2013) - [i23]Myunghwan Kim, Jure Leskovec:
Nonparametric Multi-group Membership Model for Dynamic Networks. CoRR abs/1311.2079 (2013) - 2012
- [j11]Myunghwan Kim, Jure Leskovec:
Multiplicative Attribute Graph Model of Real-World Networks. Internet Math. 8(1-2): 113-160 (2012) - [j10]Dan J. Wang, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec:
Measurement error in network data: A re-classification. Soc. Networks 34(4): 396-409 (2012) - [j9]Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause:
Inferring Networks of Diffusion and Influence. ACM Trans. Knowl. Discov. Data 5(4): 21:1-21:37 (2012) - [c63]Julian J. McAuley, Jure Leskovec:
Image Labeling on a Network: Using Social-Network Metadata for Image Classification. ECCV (4) 2012: 828-841 - [c62]Jure Leskovec:
Human navigation in networks. HT 2012: 143-144 - [c61]Seth A. Myers, Jure Leskovec:
Clash of the Contagions: Cooperation and Competition in Information Diffusion. ICDM 2012: 539-548 - [c60]Jaewon Yang, Jure Leskovec:
Defining and Evaluating Network Communities Based on Ground-Truth. ICDM 2012: 745-754 - [c59]Julian J. McAuley, Jure Leskovec, Dan Jurafsky:
Learning Attitudes and Attributes from Multi-aspect Reviews. ICDM 2012: 1020-1025 - [c58]Jaewon Yang, Jure Leskovec:
Community-Affiliation Graph Model for Overlapping Network Community Detection. ICDM 2012: 1170-1175 - [c57]Myunghwan Kim, Jure Leskovec:
Latent Multi-group Membership Graph Model. ICML 2012 - [c56]Robert West, Jure Leskovec:
Automatic Versus Human Navigation in Information Networks. ICWSM 2012 - [c55]Seth A. Myers, Chenguang Zhu, Jure Leskovec:
Information diffusion and external influence in networks. KDD 2012: 33-41 - [c54]Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec:
Discovering value from community activity on focused question answering sites: a case study of stack overflow. KDD 2012: 850-858 - [c53]Julian J. McAuley, Jure Leskovec:
Learning to Discover Social Circles in Ego Networks. NIPS 2012: 548-556 - [c52]Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec:
The life and death of online groups: predicting group growth and longevity. WSDM 2012: 673-682 - [c51]Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec:
Effects of user similarity in social media. WSDM 2012: 703-712 - [c50]Robert West, Jure Leskovec:
Human wayfinding in information networks. WWW 2012: 619-628 - [i22]Myunghwan Kim, Jure Leskovec:
Latent Multi-group Membership Graph Model. CoRR abs/1205.4546 (2012) - [i21]Jaewon Yang, Jure Leskovec:
Structure and Overlaps of Communities in Networks. CoRR abs/1205.6228 (2012) - [i20]Jaewon Yang, Jure Leskovec:
Defining and Evaluating Network Communities based on Ground-truth. CoRR abs/1205.6233 (2012) - [i19]Seth A. Myers, Chenguang Zhu, Jure Leskovec:
Information Diffusion and External Influence in Networks. CoRR abs/1206.1331 (2012) - [i18]Julian J. McAuley, Jure Leskovec:
Image Labeling on a Network: Using Social-Network Metadata for Image Classification. CoRR abs/1207.3809 (2012) - [i17]Julian J. McAuley, Jure Leskovec, Dan Jurafsky:
Learning Attitudes and Attributes from Multi-Aspect Reviews. CoRR abs/1210.3926 (2012) - [i16]Julian J. McAuley, Jure Leskovec:
Discovering Social Circles in Ego Networks. CoRR abs/1210.8182 (2012) - [i15]Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf:
Structure and Dynamics of Information Pathways in Online Media. CoRR abs/1212.1464 (2012) - 2011
- [j8]U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec:
HADI: Mining Radii of Large Graphs. ACM Trans. Knowl. Discov. Data 5(2): 8:1-8:24 (2011) - [c49]Mahalia Miller, Conal Sathi, Daniel Wiesenthal, Jure Leskovec, Christopher Potts:
Sentiment Flow Through Hyperlink Networks. ICWSM 2011 - [c48]Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky:
LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. ICWSM 2011 - [c47]Eunjoon Cho, Seth A. Myers, Jure Leskovec:
Friendship and mobility: user movement in location-based social networks. KDD 2011: 1082-1090 - [c46]Myunghwan Kim, Jure Leskovec:
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks. SDM 2011: 47-58 - [c45]Stephen Guo, Mengqiu Wang, Jure Leskovec:
The role of social networks in online shopping: information passing, price of trust, and consumer choice. EC 2011: 157-166 - [c44]Myunghwan Kim, Jure Leskovec:
Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model. UAI 2011: 400-409 - [c43]Eldar Sadikov, Montserrat Medina, Jure Leskovec, Hector Garcia-Molina:
Correcting for missing data in information cascades. WSDM 2011: 55-64 - [c42]Jaewon Yang, Jure Leskovec:
Patterns of temporal variation in online media. WSDM 2011: 177-186 - [c41]Lars Backstrom, Jure Leskovec:
Supervised random walks: predicting and recommending links in social networks. WSDM 2011: 635-644 - [c40]Jure Leskovec:
Social media analytics: tracking, modeling and predicting the flow of information through networks. WWW (Companion Volume) 2011: 277-278 - [c39]Amr El Abaddi, Lars Backstrom, Soumen Chakrabarti, Alejandro Jaimes, Jure Leskovec, Andrew Tomkins:
Social media: source of information or bunch of noise. WWW (Companion Volume) 2011: 327-328 - [c38]Simla Ceyhan, Xiaolin Shi, Jure Leskovec:
Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success. WWW 2011: 547-556 - [p1]Jure Leskovec:
Kronecker Graphs. Graph Algorithms in the Language of Linear Algebra 2011: 137-204 - [i14]Stephen Guo, Mengqiu Wang, Jure Leskovec:
The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice. CoRR abs/1104.0942 (2011) - [i13]Myunghwan Kim, Jure Leskovec:
Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model. CoRR abs/1106.5053 (2011) - 2010
- [j7]Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani:
Kronecker Graphs: An Approach to Modeling Networks. J. Mach. Learn. Res. 11: 985-1042 (2010) - [c37]Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg:
Signed networks in social media. CHI 2010: 1361-1370 - [c36]Jaewon Yang, Jure Leskovec:
Modeling Information Diffusion in Implicit Networks. ICDM 2010: 599-608 - [c35]Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg:
Governance in Social Media: A Case Study of the Wikipedia Promotion Process. ICWSM 2010 - [c34]Xiaolin Shi, Jure Leskovec, Daniel A. McFarland:
Citing for high impact. JCDL 2010: 49-58 - [c33]Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause:
Inferring networks of diffusion and influence. KDD 2010: 1019-1028 - [c32]Seth A. Myers, Jure Leskovec:
On the Convexity of Latent Social Network Inference. NIPS 2010: 1741-1749 - [c31]U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec:
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. SDM 2010: 548-558 - [c30]Myunghwan Kim, Jure Leskovec:
Multiplicative Attribute Graph Model of Real-World Networks. WAW 2010: 62-73 - [c29]Jure Leskovec, Kevin J. Lang, Michael W. Mahoney:
Empirical comparison of algorithms for network community detection. WWW 2010: 631-640 - [c28]Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg:
Predicting positive and negative links in online social networks. WWW 2010: 641-650 - [e1]Prem Melville, Jure Leskovec, Foster J. Provost:
Proceedings of the First Workshop on Social Media Analytics, SOMA@KDD 2010, Washington, DC, USA, July 25, 2010. ACM 2010, ISBN 978-1-4503-0217-3 [contents] - [i12]Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg:
Signed Networks in Social Media. CoRR abs/1003.2424 (2010) - [i11]Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg:
Predicting Positive and Negative Links in Online Social Networks. CoRR abs/1003.2429 (2010) - [i10]Xiaolin Shi, Jure Leskovec, Daniel A. McFarland:
Citing for High Impact. CoRR abs/1004.3351 (2010) - [i9]Jure Leskovec, Kevin J. Lang, Michael W. Mahoney:
Empirical Comparison of Algorithms for Network Community Detection. CoRR abs/1004.3539 (2010) - [i8]Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg:
Governance in Social Media: A case study of the Wikipedia promotion process. CoRR abs/1004.3547 (2010) - [i7]Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause:
Inferring Networks of Diffusion and Influence. CoRR abs/1006.0234 (2010) - [i6]Myunghwan Kim, Jure Leskovec:
Multiplicative Attribute Graph Model of Real-World Networks. CoRR abs/1009.3499 (2010) - [i5]Seth A. Myers, Jure Leskovec:
On the Convexity of Latent Social Network Inference. CoRR abs/1010.5504 (2010) - [i4]Lars Backstrom, Jure Leskovec:
Supervised Random Walks: Predicting and Recommending Links in Social Networks. CoRR abs/1011.4071 (2010)
2000 – 2009
- 2009
- [j6]Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney:
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. Internet Math. 6(1): 29-123 (2009) - [c27]Jure Leskovec:
Networks, communities and kronecker products. CIKM-CNIKM 2009: 1-2 - [c26]Jure Leskovec:
Tutorial summary: Large social and information networks: opportunities for ML. ICML 2009: 19 - [c25]Michaela Goetz, Jure Leskovec, Mary McGlohon, Christos Faloutsos:
Modeling Blog Dynamics. ICWSM 2009 - [c24]Jure Leskovec, Lars Backstrom, Jon M. Kleinberg:
Meme-tracking and the dynamics of the news cycle. KDD 2009: 497-506 - [c23]Ana Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec, Andrew Tomkins:
ShatterPlots: Fast Tools for Mining Large Graphs. SDM 2009: 802-813 - 2008
- [j5]Deepayan Chakrabarti, Yang Wang, Chenxi Wang, Jure Leskovec, Christos Faloutsos:
Epidemic thresholds in real networks. ACM Trans. Inf. Syst. Secur. 10(4): 1:1-1:26 (2008) - [c22]Jure Ferlez, Christos Faloutsos, Jure Leskovec, Dunja Mladenic, Marko Grobelnik:
Monitoring Network Evolution using MDL. ICDE 2008: 1328-1330 - [c21]Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew Tomkins:
Microscopic evolution of social networks. KDD 2008: 462-470 - [c20]Mukund Seshadri, Sridhar Machiraju, Ashwin Sridharan, Jean Bolot, Christos Faloutsos, Jure Leskovec:
Mobile call graphs: beyond power-law and lognormal distributions. KDD 2008: 596-604 - [c19]Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David D. Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins:
Social networks: looking ahead. KDD 2008: 1060 - [c18]Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney:
Statistical properties of community structure in large social and information networks. WWW 2008: 695-704 - [c17]Jure Leskovec, Eric Horvitz:
Planetary-scale views on a large instant-messaging network. WWW 2008: 915-924 - [i3]Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney:
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. CoRR abs/0810.1355 (2008) - [i2]Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani:
Kronecker Graphs: An Approach to Modeling Networks. CoRR abs/0812.4905 (2008) - 2007
- [j4]Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos:
Graph evolution: Densification and shrinking diameters. ACM Trans. Knowl. Discov. Data 1(1): 2 (2007) - [j3]Jure Leskovec, Lada A. Adamic, Bernardo A. Huberman:
The dynamics of viral marketing. ACM Trans. Web 1(1): 5 (2007) - [c16]Jure Leskovec, Christos Faloutsos:
Scalable modeling of real graphs using Kronecker multiplication. ICML 2007: 497-504 - [c15]Mary McGlohon, Jure Leskovec, Christos Faloutsos, Matthew Hurst, Natalie S. Glance:
Finding patterns in blog shapes and blog evolution. ICWSM 2007 - [c14]Deepayan Chakrabarti, Jure Leskovec, Christos Faloutsos, Samuel Madden, Carlos Guestrin, Michalis Faloutsos:
Information Survival Threshold in Sensor and P2P Networks. INFOCOM 2007: 1316-1324 - [c13]Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne M. VanBriesen, Natalie S. Glance:
Cost-effective outbreak detection in networks. KDD 2007: 420-429 - [c12]Jure Leskovec:
Diffusion and Cascading Behavior in Networks. NATO ASI Mining Massive Data Sets for Security 2007: 169-185 - [c11]Jure Leskovec, Mary McGlohon, Christos Faloutsos, Natalie S. Glance, Matthew Hurst:
Patterns of Cascading Behavior in Large Blog Graphs. SDM 2007: 551-556 - [c10]Jure Leskovec, Susan T. Dumais, Eric Horvitz:
Web projections: learning from contextual subgraphs of the web. WWW 2007: 471-480 - 2006
- [c9]Andreas Krause, Jure Leskovec, Carlos Guestrin:
Data association for topic intensity tracking. ICML 2006: 497-504 - [c8]Jure Leskovec, Christos Faloutsos:
Sampling from large graphs. KDD 2006: 631-636 - [c7]Jure Leskovec, Ajit Singh, Jon M. Kleinberg:
Patterns of Influence in a Recommendation Network. PAKDD 2006: 380-389 - [c6]Jure Leskovec, Lada A. Adamic, Bernardo A. Huberman:
The dynamics of viral marketing. EC 2006: 228-237 - [c5]José Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec:
GMine: A System for Scalable, Interactive Graph Visualization and Mining. VLDB 2006: 1195-1198 - 2005
- [j2]Jure Leskovec, Purnamrita Sarkar, Carlos Guestrin:
Modeling Link Qualities in a Sensor Network. Informatica (Slovenia) 29(4): 445-452 (2005) - [c4]Jure Leskovec, Natasa Milic-Frayling, Marko Grobelnik:
Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts. AAAI 2005: 1069-1074 - [c3]Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos:
Graphs over time: densification laws, shrinking diameters and possible explanations. KDD 2005: 177-187 - [c2]Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos:
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. PKDD 2005: 133-145 - [i1]Jure Leskovec, Lada A. Adamic, Bernardo A. Huberman:
The Dynamics of Viral Marketing. CoRR abs/physics/0509039 (2005) - 2003
- [j1]Janez Brank, Jure Leskovec:
The Download Estimation task on KDD Cup 2003. SIGKDD Explor. 5(2): 160-162 (2003) - [c1]Jure Leskovec, John Shawe-Taylor:
Linear Programming Boosting for Uneven Datasets. ICML 2003: 456-463
Coauthor Index
Daniel Jurafsky
aka: Dan Jurafsky
aka: Dan Jurafsky
Rex Ying
aka: Zhitao Ying
aka: Zhitao Ying
[c251] [i220] [i217] [i179] [c220] [c219] [i169] [i161] [i157] [c213] [c204] [c200] [c198] [c197] [i154] [i140] [i138] [c187] [c185] [c176] [i132] [i128] [i121] [i115] [c168] [c162] [c161] [i113] [i107] [i106] [i103] [i102] [c153] [c148] [c145] [c144] [i99] [i90] [i89] [i87] [j27] [c123] [i69] [i64]
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