| SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Q Sun, J Li, H Peng, J Wu, Y Ning, PS Yu, L He The Web Conference, WWW 2021, 2021 | 189 | 2021 |
| Graph Structure Learning with Variational Information Bottleneck Q Sun, J Li, H Peng, J Wu, X Fu, C Ji, PS Yu 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 2021 | 165 | 2021 |
| Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing Q Sun, J Li, H Yuan, X Fu, H Peng, C Ji, Q Li, PS Yu 31st ACM International Conference on Information and Knowledge Management …, 2022 | 46 | 2022 |
| ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network X Fu, J Li, J Wu, Q Sun, C Ji, S Wang, J Tan, H Peng, PS Yu 21st IEEE International Conference on Data Mining, ICDM 2021, 2021 | 34 | 2021 |
| Does Graph Distillation See Like Vision Dataset Counterpart? B Yang, K Wang, Q Sun, C Ji, X Fu, H Tang, Y You, J Li 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023 | 33 | 2023 |
| Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification X Fu, Y Wei, Q Sun, H Yuan, J Wu, H Peng, J Li The Web Conference, WWW 2023, 2023 | 27 | 2023 |
| Automating DBSCAN via Deep Reinforcement Learning R Zhang, H Peng, Y Dou, J Wu, Q Sun, Y Li, J Zhang, PS Yu 31st ACM International Conference on Information and Knowledge Management …, 2022 | 23 | 2022 |
| Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks Q Sun, H Peng, J Li, S Wang, X Dong, L Zhao, PS Yu, L He 20th IEEE International Conference on Data Mining, ICDM 2020, 511-520, 2020 | 22 | 2020 |
| Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining J Li, Q Sun, H Peng, B Yang, J Wu, SY Phillp IEEE Transactions on Pattern Analysis & Machine Intelligence (IEEE TPAMI), 1-18, 2023 | 21 | 2023 |
| Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation Y Wei, X Fu, Q Sun, H Peng, J Wu, J Wang, X Li 22nd IEEE International Conference on Data Mining, ICDM 2022, 2022 | 19 | 2022 |
| A Robust and Generalized Framework for Adversarial Graph Embedding J Li, X Fu, H Peng, S Wang, S Zhu, Q Sun, PS Yu, L He IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021 | 19 | 2021 |
| Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization H Yuan, Q Sun, X Fu, Z Zhang, C Ji, H Peng, J Li 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023 | 18 | 2023 |
| Curvature Graph Generative Adversarial Networks J Li, X Fu, Q Sun, C Ji, J Tan, J Wu, H Peng The Web Conference, WWW 2022, 2022 | 16 | 2022 |
| Dynamic Graph Information Bottleneck H Yuan, Q Sun, X Fu, C Ji, J Li The Web Conference, WWW 2024, 2024 | 15 | 2024 |
| Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems Q Li, J Li, L Wang, C Ji, Y Hei, J Sheng, Q Sun, S Xue, P Xie ACM Transactions on Web (ACM TWEB), 2022 | 13 | 2022 |
| Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding C Ji, T Zhao, Q Sun, X Fu, J Li Pattern Recognition 143, 109766, 2023 | 11 | 2023 |
| Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Q Sun, J Li, B Yang, X Fu, H Peng, PS Yu AAAI 2023, 2022 | 11 | 2022 |
| Poincar\'e Differential Privacy for Hierarchy-aware Graph Embedding Y Wei, H Yuan, X Fu, Q Sun, H Peng, X Li, C Hu 38th AAAI Conference on Artificial Intelligence, AAAI 2024, 2023 | 8 | 2023 |
| Hyperbolic Geometric Latent Diffusion Model for Graph Generation X Fu, Y Gao, Y Wei, Q Sun, H Peng, J Li, X Li The International Conference on Machine Learning, ICML 2024, 2024 | 7 | 2024 |
| Unbiased and Efficient Self-Supervised Incremental Contrastive Learning C Ji, J Li, H Peng, J Wu, X Fu, Q Sun, PS Yu ACM International Conference on Web Search and Data Mining, WSDM 2023, 2023 | 7 | 2023 |
Jianxin LiSchool of Computer Science & Engineering, Beihang University確認したメール アドレス: act.buaa.edu.cn