Auc-oriented graph neural network for fraud detection M Huang, Y Liu, X Ao, K Li, J Chi, J Feng, H Yang, Q He Proceedings of the ACM Web Conference 2022, 1311-1321, 2022 | 88 | 2022 |
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN K Li, Y Liu, X Ao, J Chi, J Feng, H Yang, Q He Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 66 | 2022 |
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs Y Liu, X Ao, F Feng, Y Ma, K Li, TS Chua, Q He Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 34 | 2023 |
Revisiting graph adversarial attack and defense from a data distribution perspective K Li, Y Liu, X Ao, Q He The Eleventh International Conference on Learning Representations, 2023 | 31 | 2023 |
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective K Li, YW Chen, Y Liu, J Wang, Q He, M Cheng, X Ao The Twelfth International Conference on Learning Representations, 2023 | 5 | 2023 |