| A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun, K He IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022 | 197* | 2022 |
| Simple contrastive graph clustering Y Liu, X Yang, S Zhou, X Liu, S Wang, K Liang, W Tu, L Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 134 | 2023 |
| Hard sample aware network for contrastive deep graph clustering Y Liu, X Yang, S Zhou, X Liu, Z Wang, K Liang, W Tu, L Li, J Duan, ... Proceedings of the AAAI conference on artificial intelligence (AAAI 23) 37 …, 2023 | 116 | 2023 |
| Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure K Liang, Y Liu, S Zhou, W Tu, Y Wen, X Yang, X Dong, X Liu IEEE Transactions on Knowledge and Data Engineering, 2023 | 102* | 2023 |
| A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Y Liu, J Xia, S Zhou, X Yang, K Liang, C Fan, Y Zhuang, SZ Li, X Liu, K He arXiv preprint arXiv:2211.12875, 2022 | 85* | 2022 |
| Learn from relational correlations and periodic events for temporal knowledge graph reasoning K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 78 | 2023 |
| DealMVC: Dual Contrastive Calibration for Multi-view Clustering X Yang, J Jin, S Wang, K Liang, Y Liu, Y Wen, S Liu, S Zhou, X Liu, E Zhu The 31st ACM International Conference on Multimedia (ACM MM 23), 2023 | 63 | 2023 |
| Deep Temporal Graph Clustering M Liu, Y Liu, K Liang, S Wang, S Zhou, X Liu The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 62 | 2023 |
| Dink-net: Neural clustering on large graphs Y Liu, K Liang, J Xia, S Zhou, X Yang, X Liu, SZ Li Fortieth International Conference on Machine Learning (ICML 23), 2023 | 57 | 2023 |
| Self-supervised temporal graph learning with temporal and structural intensity alignment M Liu, K Liang, Y Zhao, W Tu, S Zhou, X Gan, X Liu, K He IEEE Transactions on Neural Networks and Learning Systems, 2024 | 55 | 2024 |
| MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs K Liang, L Meng, S Zhou, W Tu, S Wang, Y Liu, M Liu, L Zhao, X Dong, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10645 …, 2024 | 41* | 2024 |
| Unpaired multi-view graph clustering with cross-view structure matching Y Wen, S Wang, Q Liao, W Liang, K Liang, X Wan, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 41 | 2023 |
| CONVERT: Contrastive Graph Clustering with Reliable Augmentation X Yang, C Tan, Y Liu, K Liang, S Wang, S Zhou, J Xia, SZ Li, X Liu, E Zhu The 31st ACM International Conference on Multimedia (ACM MM 23), 2023 | 38 | 2023 |
| scDFC: a deep fusion clustering method for single-cell RNA-seq data D Hu, K Liang, S Zhou, W Tu, M Liu, X Liu Briefings in Bioinformatics 24 (4), bbad216, 2023 | 38 | 2023 |
| Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning KE LIANG, L Meng, Y Liu, M Liu, W Wei, S Wang, S Liu, W Tu, X Liu ACM Multimedia 2024, 2024 | 34* | 2024 |
| Reinforcement Graph Clustering with Unknown Cluster Number Y Liu, K Liang, J Xia, X Yang, S Zhou, M Liu, X Liu, SZ Li The 31st ACM International Conference on Multimedia (ACM MM 23), 2023 | 24 | 2023 |
| TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification M Liu, K Liang, D Hu, H Yu, Y Liu, L Meng, W Tu, S Zhou, X Liu The 31st ACM International Conference on Multimedia (ACM MM 23), 2023 | 21 | 2023 |
| Sarf: Aliasing relation assisted self-supervised learning for few-shot relation reasoning L Meng, K Liang, B Xiao, S Zhou, Y Liu, M Liu, X Yang, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 20 | 2023 |
| Abslearn: a gnn-based framework for aliasing and buffer-size information retrieval K Liang, J Tan, D Zeng, Y Huang, X Huang, G Tan Pattern Analysis and Applications 26 (3), 1171-1189, 2023 | 19 | 2023 |
| A Plug-and-Play Medical Knowledge Graph Assisted Generative Models for Medical Conversation Tasks K Liang, S Wu, J Gu arXiv, 2021 | 18* | 2021 |
Xinwang LiuSenior Member of IEEE and CCF, NUDTAdresse e-mail validée de nudt.edu.cn