| Deep Graph Clustering via Dual Correlation Reduction Y Liu, W Tu, S Zhou, X Liu, L Song, X Yang, E Zhu Proceedings of the 36th AAAI conference on artificial intelligence (AAAI-22 …, 2022 | 132 | 2022 |
| A survey of knowledge graph reasoning on graph types: Static, dynamic, and multimodal K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun arXiv preprint arXiv:2212.05767, 2022 | 87* | 2022 |
| Simple Contrastive Graph Clustering Y Liu, X Yang, S Zhou, X Liu IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023 | 75 | 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 37th AAAI conference on artificial intelligence (AAAI-23), 2023 | 60 | 2023 |
| Knowledge Graph Contrastive Learning based on Relation-Symmetrical Structure K Liang, Y Liu, S Zhou, X Liu, W Tu IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023 | 59* | 2023 |
| Mole-bert: Rethinking pre-training graph neural networks for molecules J Xia, C Zhao, B Hu, Z Gao, C Tan, Y Liu, S Li, SZ Li Proceedings of the 11th International Conference on Learning Representations …, 2023 | 51 | 2023 |
| Cluster-guided Contrastive Graph Clustering Network X Yang, Y Liu, S Zhou, S Wang, W Tu, Q Zheng, X Liu, L Fang, E Zhu Proceedings of the 37th AAAI conference on artificial intelligence (AAAI-23), 2023 | 44 | 2023 |
| 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 | 34 | 2023 |
| A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application Y Liu, J Xia, S Zhou, S Wang, X Guo, X Yang, K Liang, W Tu, SZ Li, X Liu arXiv preprint arXiv:2211.12875, 2022 | 34 | 2022 |
| Deep temporal graph clustering M Liu, Y Liu, K Liang, S Wang, S Zhou, X Liu arXiv preprint arXiv:2305.10738, 2023 | 27 | 2023 |
| Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View J Duan, S Wang, P Zhang, E Zhu, J Hu, H Jin, Y Liu, Z Dong Proceedings of the 37th AAAI conference on artificial intelligence (AAAI-23), 2023 | 24 | 2023 |
| Initializing Then Refining: A Simple Graph Attribute Imputation Network W Tu, S Zhou, X Liu, Y Liu, Z Cai, E Zhu, C Zhang, J Cheng Proceedings of the 31th International Joint Conferences on Artificial …, 2022 | 24 | 2022 |
| Dink-Net: Neural Clustering on Large Graphs Y Liu, K Liang, J Xia, S Zhou, X Yang, X Liu, SZ Li Proceedings of the 40th International Conference on Machine Learning (ICML-23), 2023 | 23 | 2023 |
| Mixed Graph Contrastive Network for Semi-Supervised Node Classification X Yang, Y Liu, S Zhou, X Liu, E Zhu arXiv preprint arXiv:2206.02796, 2022 | 23* | 2022 |
| 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 | 22 | 2024 |
| Structure guided multi-modal pre-trained transformer for knowledge graph reasoning K Liang, S Zhou, Y Liu, L Meng, M Liu, X Liu arXiv preprint arXiv:2307.03591, 2023 | 22 | 2023 |
| Contrastive deep graph clustering with learnable augmentation X Yang, Y Liu, S Zhou, S Wang, X Liu, E Zhu arXiv preprint arXiv:2212.03559, 2022 | 21 | 2022 |
| Improved Dual Correlation Reduction Network Y Liu, S Zhou, X Liu, W Tu, X Yang arXiv preprint arXiv:2202.12533, 2022 | 20 | 2022 |
| Multiple kernel clustering with dual noise minimization J Zhang, L Li, S Wang, J Liu, Y Liu, X Liu, E Zhu Proceedings of the 30th ACM International Conference on Multimedia (ACMMM-22 …, 2022 | 19 | 2022 |
| Dealmvc: Dual contrastive calibration for multi-view clustering X Yang, J Jiaqi, S Wang, K Liang, Y Liu, Y Wen, S Liu, S Zhou, X Liu, ... Proceedings of the 31st ACM International Conference on Multimedia, 337-346, 2023 | 15 | 2023 |
Xinwang LiuSenior Member of IEEE and CCF, NUDT在 nudt.edu.cn 的电子邮件经过验证
