GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization. - Yu, Hao; Liang, Ke; Hu, Dayu; Tu, Wenxuan; Ma, Chuan; Zhou, Sihang; Liu, Xinwang (IEEE Trans. Knowl. Data Eng., 2025)

SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning. - Meng, Lingyuan; Liang, Ke; Xiao, Bin; Zhou, Sihang; Liu, Yue; Liu, Meng; Yang, Xihong; Liu, Xinwang; Li, Jinyan (IEEE Trans. Neural Networks Learn. Syst., 2025)

scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data. - Hu, Dayu; Guan, Renxiang; Liang, Ke; Yu, Hao; Quan, Hao; Zhao, Yawei; Liu, Xinwang; He, Kunlun (Briefings Bioinform., 2024)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. - Liang, Ke; Meng, Lingyuan; Liu, Meng; Liu, Yue; Tu, Wenxuan; Wang, Siwei; Zhou, Sihang; Liu, Xinwang; Sun, Fuchun; He, Kunlun (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering. - Hu, Dayu; Dong, Zhibin; Liang, Ke; Yu, Hao; Wang, Siwei; Liu, Xinwang (IEEE Trans. Fuzzy Syst., 2024)

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. - Liang, Ke; Liu, Yue; Zhou, Sihang; Tu, Wenxuan; Wen, Yi; Yang, Xihong; Dong, Xiangjun; Liu, Xinwang (IEEE Trans. Knowl. Data Eng., 2024)

FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. - Meng, Lingyuan; Liang, Ke; Yu, Hao; Liu, Yue; Zhou, Sihang; Liu, Meng; Liu, Xinwang (IEEE Trans. Knowl. Data Eng., 2024)

Simple Contrastive Graph Clustering. - Liu, Yue; Yang, Xihong; Zhou, Sihang; Liu, Xinwang; Wang, Siwei; Liang, Ke; Tu, Wenxuan; Li, Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. - Wen, Yi; Wang, Siwei; Liao, Qing; Liang, Weixuan; Liang, Ke; Wan, Xinhang; Liu, Xinwang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. - Liang, Ke; Zhou, Sihang; Liu, Meng; Liu, Yue; Tu, Wenxuan; Zhang, Yi; Fang, Liming; Liu, Zhe; Liu, Xinwang (2024)

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. - Liang, Ke; Meng, Lingyuan; Zhou, Sihang; Tu, Wenxuan; Wang, Siwei; Liu, Yue; Liu, Meng; Zhao, Long; Dong, Xiangjun; Liu, Xinwang (2024)

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. - Liu, Suyuan; Liang, Ke; Dong, Zhibin; Wang, Siwei; Yang, Xihong; Zhou, Sihang; Zhu, En; Liu, Xinwang (2024)

Deep Temporal Graph Clustering. - Liu, Meng; Liu, Yue; Liang, Ke; Tu, Wenxuan; Wang, Siwei; Zhou, Sihang; Liu, Xinwang (2024)

Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection. - He, Yulin; Chen, Wei; Liang, Zhengfa; Liang, Ke; Tan, Yusong; Liu, Tianrui; Guo, Yulan (2024)

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. - Liang, Ke; Meng, Lingyuan; Liu, Yue; Liu, Meng; Wei, Wei; Liu, Suyuan; Tu, Wenxuan; Wang, Siwei; Zhou, Sihang; Liu, Xinwang (2024)

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. - Yang, Xihong; Min, Erxue; Liang, Ke; Liu, Yue; Wang, Siwei; Zhou, Sihang; Wu, Huijun; Liu, Xinwang; Zhu, En (2024)

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding. - Liang, Ke; Liu, Yue; Li, Hao; Meng, Lingyuan; Liu, Suyuan; Wang, Siwei; Zhou, Sihang; Liu, Xinwang (2024)

Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering. - Liu, Suyuan; Wang, Siwei; Liang, Ke; Zhang, Junpu; Dong, Zhibin; Liu, Tianrui; Zhu, En; Liu, Xinwang; He, Kunlun (2024)

Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models. - Chen, Xiaoshu; Zhou, Sihang; Liang, Ke; Liu, Xinwang (CoRR, 2024)

Object Style Diffusion for Generalized Object Detection in Urban Scene. - Li, Hao; Yang, Xiangyuan; Wang, Mengzhu; Lan, Long; Liang, Ke; Liu, Xinwang; Li, Kenli (CoRR, 2024)

scDFC: A deep fusion clustering method for single-cell RNA-seq data. - Hu, Dayu; Liang, Ke; Zhou, Sihang; Tu, Wenxuan; Liu, Meng; Liu, Xinwang (Briefings Bioinform., 2023)

ABSLearn: a GNN-based framework for aliasing and buffer-size information retrieval. - Liang, Ke; Tan, Jim; Zeng, Dongrui; Huang, Yongzhe; Huang, Xiaolei; Tan, Gang (Pattern Anal. Appl., 2023)

Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Liu, Yue; Yang, Xihong; Zhou, Sihang; Liu, Xinwang; Wang, Zhen; Liang, Ke; Tu, Wenxuan; Li, Liang; Duan, Jingcan; Chen, Cancan (2023)

Dink-Net: Neural Clustering on Large Graphs. - Liu, Yue; Liang, Ke; Xia, Jun; Zhou, Sihang; Yang, Xihong; Liu, Xinwang; Li, Stan Z. (2023)

CONVERT: Contrastive Graph Clustering with Reliable Augmentation. - Yang, Xihong; Tan, Cheng; Liu, Yue; Liang, Ke; Wang, Siwei; Zhou, Sihang; Xia, Jun; Li, Stan Z.; Liu, Xinwang; Zhu, En (2023)

DealMVC: Dual Contrastive Calibration for Multi-view Clustering. - Yang, Xihong; Jin, Jiaqi; Wang, Siwei; Liang, Ke; Liu, Yue; Wen, Yi; Liu, Suyuan; Zhou, Sihang; Liu, Xinwang; Zhu, En (2023)

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. - Wen, Yi; Liu, Suyuan; Wan, Xinhang; Wang, Siwei; Liang, Ke; Liu, Xinwang; Yang, Xihong; Zhang, Pei (2023)

Scalable Incomplete Multi-View Clustering with Structure Alignment. - Wen, Yi; Wang, Siwei; Liang, Ke; Liang, Weixuan; Wan, Xinhang; Liu, Xinwang; Liu, Suyuan; Liu, Jiyuan; Zhu, En (2023)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. - Liu, Meng; Liang, Ke; Hu, Dayu; Yu, Hao; Liu, Yue; Meng, Lingyuan; Tu, Wenxuan; Zhou, Sihang; Liu, Xinwang (2023)

Reinforcement Graph Clustering with Unknown Cluster Number. - Liu, Yue; Liang, Ke; Xia, Jun; Yang, Xihong; Zhou, Sihang; Liu, Meng; Liu, Xinwang; Li, Stan Z. (2023)

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. - Liang, Ke; Meng, Lingyuan; Liu, Meng; Liu, Yue; Tu, Wenxuan; Wang, Siwei; Zhou, Sihang; Liu, Xinwang (2023)

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. - Liu, Meng; Liang, Ke; Xiao, Bin; Zhou, Sihang; Tu, Wenxuan; Liu, Yue; Yang, Xihong; Liu, Xinwang (CoRR, 2023)

Pseudo-label Correction and Learning For Semi-Supervised Object Detection. - He, Yulin; Chen, Wei; Liang, Ke; Tan, Yusong; Liang, Zhengfa; Guo, Yulan (CoRR, 2023)

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. - Meng, Lingyuan; Liang, Ke; Xiao, Bin; Zhou, Sihang; Liu, Yue; Liu, Meng; Yang, Xihong; Liu, Xinwang (CoRR, 2023)

Deep Temporal Graph Clustering. - Liu, Meng; Liu, Yue; Liang, Ke; Wang, Siwei; Zhou, Sihang; Liu, Xinwang (CoRR, 2023)

Message Intercommunication for Inductive Relation Reasoning. - Liang, Ke; Meng, Lingyuan; Zhou, Sihang; Wang, Siwei; Tu, Wenxuan; Liu, Yue; Liu, Meng; Liu, Xinwang (CoRR, 2023)

Dink-Net: Neural Clustering on Large Graphs. - Liu, Yue; Liang, Ke; Xia, Jun; Zhou, Sihang; Yang, Xihong; Liu, Xinwang; Li, Stan Z. (CoRR, 2023)

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. - Liu, Meng; Liang, Ke; Liu, Yue; Wang, Siwei; Zhou, Sihang; Liu, Xinwang (CoRR, 2023)

Unpaired Multi-View Graph Clustering with Cross-View Structure Matching. - Wen, Yi; Wang, Siwei; Liao, Qing; Liang, Weixuan; Liang, Ke; Wan, Xinhang; Liu, Xinwang (CoRR, 2023)

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. - Liang, Ke; Zhou, Sihang; Liu, Yue; Meng, Lingyuan; Liu, Meng; Liu, Xinwang (CoRR, 2023)

Reinforcement Graph Clustering with Unknown Cluster Number. - Liu, Yue; Liang, Ke; Xia, Jun; Yang, Xihong; Zhou, Sihang; Liu, Meng; Liu, Xinwang; Li, Stan Z. (CoRR, 2023)

CONVERT: Contrastive Graph Clustering with Reliable Augmentation. - Yang, Xihong; Tan, Cheng; Liu, Yue; Liang, Ke; Wang, Siwei; Zhou, Sihang; Xia, Jun; Li, Stan Z.; Liu, Xinwang; Zhu, En (CoRR, 2023)

DealMVC: Dual Contrastive Calibration for Multi-view Clustering. - Yang, Xihong; Jin, Jiaqi; Wang, Siwei; Liang, Ke; Liu, Yue; Wen, Yi; Liu, Suyuan; Zhou, Sihang; Liu, Xinwang; Zhu, En (CoRR, 2023)

Scalable Incomplete Multi-View Clustering with Structure Alignment. - Wen, Yi; Wang, Siwei; Liang, Ke; Liang, Weixuan; Wan, Xinhang; Liu, Xinwang; Liu, Suyuan; Liu, Jiyuan; Zhu, En (CoRR, 2023)

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. - Wen, Yi; Liu, Suyuan; Wan, Xinhang; Wang, Siwei; Liang, Ke; Liu, Xinwang; Yang, Xihong; Zhang, Pei (CoRR, 2023)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. - Liu, Meng; Liang, Ke; Hu, Dayu; Yu, Hao; Liu, Yue; Meng, Lingyuan; Tu, Wenxuan; Zhou, Sihang; Liu, Xinwang (CoRR, 2023)

Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters. - Hu, Dayu; Dong, Zhibin; Liang, Ke; Wang, Jun; Wang, Siwei; Liu, Xinwang (CoRR, 2023)

Single-Cell Clustering via Dual-Graph Alignment. - Hu, Dayu; Liang, Ke; Liu, Xinwang (CoRR, 2023)

Relational Symmetry based Knowledge Graph Contrastive Learning. - Liang, Ke; Liu, Yue; Zhou, Sihang; Liu, Xinwang; Tu, Wenxuan (CoRR, 2022)

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. - Liu, Yue; Xia, Jun; Zhou, Sihang; Wang, Siwei; Guo, Xifeng; Yang, Xihong; Liang, Ke; Tu, Wenxuan; Li, Stan Z.; Liu, Xinwang (CoRR, 2022)

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. - Liang, Ke; Meng, Lingyuan; Liu, Meng; Liu, Yue; Tu, Wenxuan; Wang, Siwei; Zhou, Sihang; Liu, Xinwang; Sun, Fuchun (CoRR, 2022)

Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Liu, Yue; Yang, Xihong; Zhou, Sihang; Liu, Xinwang; Wang, Zhen; Liang, Ke; Tu, Wenxuan; Li, Liang; Duan, Jingcan; Chen, Cancan (CoRR, 2022)

Machine Learning Applications in the Routing in Computer Networks. - Liang, Ke; Myers, Mitchel (CoRR, 2021)