| Searching lottery tickets in graph neural networks: A dual perspective K Wang, Y Liang, P Wang, X Wang, P Gu, J Fang, Y Wang The Eleventh International Conference on Learning Representations, 2022 | 21 | 2022 |
| Cooperative explanations of graph neural networks J Fang, X Wang, A Zhang, Z Liu, X He, TS Chua Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 19 | 2023 |
| Evaluating post-hoc explanations for graph neural networks via robustness analysis J Fang, W Liu, Y Gao, Z Liu, A Zhang, X Wang, X He Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| Modeling spatio-temporal dynamical systems with neural discrete learning and levels-of-experts K Wang, H Wu, G Zhang, J Fang, Y Liang, Y Wu, R Zimmermann, Y Wang IEEE Transactions on Knowledge and Data Engineering, 2024 | 5 | 2024 |
| Moltc: Towards molecular relational modeling in language models J Fang, S Zhang, C Wu, Z Liu, S Li, K Wang, W Du, X Wang, X He arXiv preprint arXiv:2402.03781, 2024 | 5 | 2024 |
| On Regularization for Explaining Graph Neural Networks: An Information Theory Perspective J Fang, W Liu, A Zhang, X Wang, X He, K Wang, TS Chua | 4 | 2022 |
| Exgc: Bridging efficiency and explainability in graph condensation J Fang, X Li, Y Sui, Y Gao, G Zhang, K Wang, X Wang, X He arXiv preprint arXiv:2402.05962, 2024 | 3 | 2024 |
| Two heads are better than one: Boosting graph sparse training via semantic and topological awareness G Zhang, Y Yue, K Wang, J Fang, Y Sui, K Wang, Y Liang, D Cheng, ... arXiv preprint arXiv:2402.01242, 2024 | 3 | 2024 |
| Fortune favors the invariant: Enhancing GNNs’ generalizability with Invariant Graph Learning G Zhang, Y Chen, S Wang, K Wang, J Fang Knowledge-Based Systems 292, 111620, 2024 | | 2024 |
