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ORCIDAkhil Arora 0001
Person information
- affiliation: EPFL, Lausanne, Switzerland
- affiliation (former): American Express, Bangalore, India
- affiliation (former): Xerox Research Centre India (XRCI)
- affiliation (former): Indian Institute of Technology, Kanpur, India
Other persons with the same name
- Akhil Arora 0002
![[0000-0001-6073-6528]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6073-6528")
— Texas A&M University, Artie McFerrin Department of Chemical Engineering, College Station, TX, USA
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2020 – today
- 2024
[c16]Akhil Arora, Robert West, Martin Gerlach:
Orphan Articles: The Dark Matter of Wikipedia. ICWSM 2024: 100-112- [i12]Akhil Arora, Lars Henning Klein, Nearchos Potamitis, Roland Aydin, Caglar Gulcehre, Robert West:
Fleet of Agents: Coordinated Problem Solving with Large Language Models using Genetic Particle Filtering. CoRR abs/2405.06691 (2024) - 2023
- [j4]Tiziano Piccardi, Martin Gerlach, Akhil Arora, Robert West:
A Large-Scale Characterization of How Readers Browse Wikipedia. ACM Trans. Web 17(2): 11:1-11:22 (2023) - [i11]Veniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora, Martin Josifoski, Ashton Anderson, Robert West:
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science. CoRR abs/2305.15041 (2023) - [i10]Akhil Arora, Robert West, Martin Gerlach:
Orphan Articles: The Dark Matter of Wikipedia. CoRR abs/2306.03940 (2023) - 2022
- [j3]Manuel Leone, Stefano Huber, Akhil Arora, Alberto García-Durán, Robert West:
A Critical Re-evaluation of Neural Methods for Entity Alignment. Proc. VLDB Endow. 15(8): 1712-1725 (2022) - [c15]Alberto García-Durán, Akhil Arora, Robert West:
Efficient Entity Candidate Generation for Low-Resource Languages. LREC 2022: 6429-6438 - [c14]Marko Culjak, Andreas Spitz, Robert West, Akhil Arora:
Strong Heuristics for Named Entity Linking. NAACL-HLT (Student Research Workshop) 2022: 235-246 - [c13]Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West:
Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus. SIGIR 2022: 3350-3354 - [c12]Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto García-Durán, Robert West:
Wikipedia Reader Navigation: When Synthetic Data Is Enough. WSDM 2022: 16-26 - [i9]Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto García-Durán, Robert West:
Wikipedia Reader Navigation: When Synthetic Data Is Enough. CoRR abs/2201.00812 (2022) - [i8]Alberto García-Durán, Akhil Arora, Robert West:
Efficient Entity Candidate Generation for Low-Resource Languages. CoRR abs/2206.15163 (2022) - [i7]Marko Culjak, Andreas Spitz, Robert West, Akhil Arora:
Strong Heuristics for Named Entity Linking. CoRR abs/2207.02824 (2022) - [i6]Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West:
Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus. CoRR abs/2207.03592 (2022) - 2021
- [c11]Akhil Arora, Alberto García-Durán, Robert West:
Low-Rank Subspaces for Unsupervised Entity Linking. EMNLP (1) 2021: 8037-8054 - [i5]Akhil Arora, Alberto García-Durán, Robert West:
Low-rank Subspaces for Unsupervised Entity Linking. CoRR abs/2104.08737 (2021) - [i4]Tiziano Piccardi, Martin Gerlach, Akhil Arora, Robert West:
A Large-Scale Characterization of How Readers Browse Wikipedia. CoRR abs/2112.11848 (2021) - 2020
- [e5]Akhil Arora, Semih Salihoglu, Nikolay Yakovets:
GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Portland, OR, USA, June 14, 2020. ACM 2020, ISBN 978-1-4503-8021-8 [contents]
2010 – 2019
- 2019
- [c10]Akhil Arora, Sainyam Galhotra, Sayan Ranu:
Influence Maximization Revisited: The State of the Art and the Gaps that Remain. EDBT 2019: 440-443 - [c9]Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher:
GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics. SIGMOD Conference 2019: 2064-2065 - [c8]Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya:
RAQ: Relationship-Aware Graph Querying in Large Networks. WWW 2019: 1886-1896 - [e4]Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher:
Proceedings of the 2nd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Amsterdam, The Netherlands, 30 June 2019. ACM 2019, ISBN 978-1-4503-6789-9 [contents] - 2018
- [j2]Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya:
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces. Proc. VLDB Endow. 11(8): 906-919 (2018) - [e3]Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher, Josep Lluís Larriba-Pey, Shourya Roy, Robert West:
Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Houston, TX, USA, June 10, 2018. ACM 2018 [contents] - [i3]Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya:
Identifying User Intent and Context in Graph Queries. CoRR abs/1801.06402 (2018) - [i2]Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya:
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces. CoRR abs/1804.06829 (2018) - 2017
- [c7]Akhil Arora, Sainyam Galhotra, Sayan Ranu:
Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. SIGMOD Conference 2017: 651-666 - [e2]Akhil Arora, Shourya Roy, Arnab Bhattacharya:
Proceedings of the 2nd International Workshop on Network Data Analytics, NDA@SIGMOD 2017, Chicago, IL, USA, May 19, 2017. ACM 2017, ISBN 978-1-4503-4990-1 [contents] - 2016
- [j1]Satyajit Bhadange, Akhil Arora, Arnab Bhattacharya:
GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs. Proc. VLDB Endow. 9(13): 1449-1452 (2016) - [c6]Sainyam Galhotra, Akhil Arora, Shourya Roy:
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. SIGMOD Conference 2016: 743-758 - [e1]Akhil Arora, Shourya Roy, Sameep Mehta:
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, NDA@SIGMOD 2016, San Francisco, California, USA, July 1, 2016. ACM 2016, ISBN 978-1-4503-4513-2 [contents] - [i1]Sainyam Galhotra, Akhil Arora, Shourya Roy:
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. CoRR abs/1602.03110 (2016) - 2015
- [c5]Deepali Semwal, Sonal Patil, Sainyam Galhotra, Akhil Arora, Narayanan Unny:
STAR: Real-time Spatio-Temporal Analysis and Prediction of Traffic Insights using Social Media. CODS Companion Volume 2015: 7:1-7:4 - [c4]Sainyam Galhotra, Akhil Arora, Srinivas Virinchi, Shourya Roy:
ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model. WWW (Companion Volume) 2015: 35-36 - 2014
- [c3]Akhil Arora, Mayank Sachan, Arnab Bhattacharya:
Mining statistically significant connected subgraphs in vertex labeled graphs. SIGMOD Conference 2014: 1003-1014 - 2013
- [c2]Shashwat Mishra, Tejas Gandhi, Akhil Arora, Arnab Bhattacharya:
Efficient edit distance based string similarity search using deletion neighborhoods. EDBT/ICDT Workshops 2013: 375-383 - 2012
- [c1]Akhil Arora, Ankit Gupta, Nitesh Bagmar, Shashwat Mishra, Arnab Bhattacharya:
A Plant Identification System using Shape and Morphological Features on Segmented Leaflets: Team IITK, CLEF 2012. CLEF (Online Working Notes/Labs/Workshop) 2012
Coauthor Index
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