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 Proceedings of the 31st ACM International Conference on Information …, 2022 | 38 | 2022 |
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification X Fu, Y Wei, Q Sun, H Yuan, J Wu, H Peng, J Li Proceedings of the ACM Web Conference 2023, 2023 | 18 | 2023 |
Environment-aware dynamic graph learning for out-of-distribution generalization H Yuan, Q Sun, X Fu, Z Zhang, C Ji, H Peng, J Li Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
Poincaré Differential Privacy for Hierarchy-aware Graph Embedding Y Wei, H Yuan, X Fu, Q Sun, H Peng, X Li, C Hu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9160-9168, 2024 | 3 | 2024 |
Dynamic Graph Information Bottleneck H Yuan, Q Sun, X Fu, C Ji, J Li Proceedings of the ACM on Web Conference 2024, 469-480, 2024 | 2 | 2024 |
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning J Qin, H Yuan, Q Sun, L Xu, J Yuan, P Huang, Z Wang, X Fu, H Peng, J Li, ... arXiv preprint arXiv:2406.09870, 2024 | 1 | 2024 |
CausalFD: causal invariance-based fraud detection against camouflaged preference Y Song, Y Wei, H Yuan, Q Sun, X Fu, L Wang, X Li International Journal of Machine Learning and Cybernetics, 1-18, 2024 | | 2024 |