| Deep Graph Clustering via Dual Correlation Reduction Y Liu, W Tu, S Zhou, X Liu, L Song, X Yang, E Zhu The 36th AAAI conference on artificial intelligence (AAAI-22) 36 (7), 7603-7611, 2022 | 216 | 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 IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 2024 | 207* | 2024 |
| 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 The 11st International Conference on Learning Representations (ICLR-23), 2023 | 157 | 2023 |
| Simple Contrastive Graph Clustering Y Liu, X Yang, S Zhou, X Liu IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), 2023 | 139 | 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 | 120 | 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 T-KDE), 2023 | 106* | 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 | 106 | 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 | 94* | 2022 |
| 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 | 90 | 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 The 46th international SIGIR conference (SIGIR-23), 1559-1568, 2023 | 79 | 2023 |
| 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, ... The 31st ACM International Conference on Multimedia (ACMMM-23), 2023 | 68 | 2023 |
| Contrastive multi-view subspace clustering of hyperspectral images based on graph convolutional networks R Guan, Z Li, W Tu, J Wang, Y Liu, X Li, C Tang, R Feng IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), 2024 | 67 | 2024 |
| Deep temporal graph clustering M Liu, Y Liu, K Liang, W Tu, S Wang, S Zhou, X Liu The 12th International Conference on Learning Representations (ICLR-24), 2024 | 66 | 2024 |
| 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 (IEEE T-NNLS), 2024 | 63 | 2024 |
| Dink-Net: Neural Clustering on Large Graphs Y Liu, K Liang, J Xia, S Zhou, X Yang, X Liu, SZ Li The 40th International Conference on Machine Learning (ICML-23), 2023 | 59 | 2023 |
| At Which Training Stage Does Code Data Help LLMs Reasoning? Y Ma*, Y Liu*, Y Yu, Y Zhang, Y Jiang, C Wang, S Li The 12nd International Conference on Learning Representations (ICLR-24), 2024 | 41 | 2024 |
| Message intercommunication for inductive relation reasoning K Liang, L Meng, S Zhou, S Wang, W Tu, Y Liu, M Liu, X Liu arXiv preprint arXiv:2305.14074, 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 (ACMMM-23), 319-327, 2023 | 39 | 2023 |
| Understanding the limitations of deep models for molecular property prediction: Insights and solutions J Xia, L Zhang, X Zhu, Y Liu, Z Gao, B Hu, C Tan, J Zheng, S Li, SZ Li The 37th Advances in Neural Information Processing Systems (NeurIPS-23) 36, 2024 | 38* | 2024 |
| Mixed Graph Contrastive Network for Semi-Supervised Node Classification X Yang, Y Liu, S Zhou, X Liu, E Zhu ACM Transactions on Knowledge Discovery from Data (ACM T-KDD), 2022 | 38* | 2022 |
Xinwang LiuSenior Member of IEEE and CCF, NUDTPreverjeni e-poštni naslov na nudt.edu.cn