| Collaborative decision-reinforced self-supervision for attributed graph clustering P Zhu, J Li, Y Wang, B Xiao, S Zhao, Q Hu IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10851-10863, 2022 | 26 | 2022 |
| Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering P Zhu, Q Wang, Y Wang, J Li, Q Hu Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17184 …, 2024 | 4 | 2024 |
| Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering P Zhu, J Li, Y Wang, B Xiao, J Zhang, W Lin, Q Hu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 2 | 2024 |
| CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks P Zhu, J Li, Z Dong, Q Hu, X Wang, Q Wang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration X Yao, Y Wang, P Zhu, W Lin, J Li, W Li, Q Hu Forty-first International Conference on Machine Learning, 0 | 1 | |
| What Matters in Graph Class Incremental Learning? An Information Preservation Perspective J Li, Y Wang, P Zhu, W Lin, Q Hu Advances in Neural Information Processing Systems 37, 26195-26223, 2025 | | 2025 |
Pengfei ZhuProfessor, College of Intelligence and Computing , Tianjin Universitytju.edu.cn의 이메일 확인됨