| 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 | 33 | 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 | 30 | 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, 72446-72463, 2023 | 29 | 2023 |
| Exgc: Bridging efficiency and explainability in graph condensation J Fang, X Li, Y Sui, Y Gao, G Zhang, K Wang, X Wang, X He Proceedings of the ACM on Web Conference 2024, 721-732, 2024 | 27 | 2024 |
| Moltc: Towards molecular relational modeling in language models J Fang, S Zhang, C Wu, Z Yang, Z Liu, S Li, K Wang, W Du, X Wang arXiv preprint arXiv:2402.03781, 2024 | 17 | 2024 |
| The snowflake hypothesis: Training deep GNN with one node one receptive field K Wang, G Li, S Wang, G Zhang, K Wang, Y You, X Peng, Y Liang, ... arXiv preprint arXiv:2308.10051, 2023 | 17 | 2023 |
| 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 | 13 | 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 | 13 | 2024 |
| On regularization for explaining graph neural networks: An information theory perspective J Fang, G Zhang, K Wang, W Du, Y Duan, Y Wu, R Zimmermann, X Chu, ... IEEE Transactions on Knowledge and Data Engineering, 2024 | 11 | 2024 |
| The heterophilic snowflake hypothesis: Training and empowering gnns for heterophilic graphs K Wang, G Zhang, X Zhang, J Fang, X Wu, G Li, S Pan, W Huang, Y Liang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 8 | 2024 |
| Invariant Graph Learning for Causal Effect Estimation Y Sui, C Tang, Z Chu, J Fang, Y Gao, Q Cui, L Li, J Zhou, X Wang Proceedings of the ACM on Web Conference 2024, 2552-2562, 2024 | 6 | 2024 |
| G-designer: Architecting multi-agent communication topologies via graph neural networks G Zhang, Y Yue, X Sun, G Wan, M Yu, J Fang, K Wang, D Cheng arXiv preprint arXiv:2410.11782, 2024 | 5 | 2024 |
| Alphaedit: Null-space constrained knowledge editing for language models J Fang, H Jiang, K Wang, Y Ma, X Wang, X He, T Chua arXiv preprint arXiv:2410.02355, 2024 | 5 | 2024 |
| Struedit: Structured outputs enable the fast and accurate knowledge editing for large language models B Bi, S Liu, Y Wang, L Mei, H Gao, J Fang, X Cheng arXiv preprint arXiv:2409.10132, 2024 | 5 | 2024 |
| Graph Anomaly Detection with Bi-level Optimization Y Gao, J Fang, Y Sui, Y Li, X Wang, H Feng, Y Zhang Proceedings of the ACM on Web Conference 2024, 4383-4394, 2024 | 5 | 2024 |
| MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction W Du, S Zhang, JX Di Wu, Z Zhao, J Fang, Y Wang Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 3 | 2024 |
| Neuron-level sequential editing for large language models H Jiang, J Fang, T Zhang, A Zhang, R Wang, T Liang, X Wang arXiv preprint arXiv:2410.04045, 2024 | 2 | 2024 |
| The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field K Wang, G Li, S Wang, G Zhang, K Wang, Y You, J Fang, X Peng, Y Liang, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 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 | 2 | 2024 |
| LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models M Yu, J Fang, Y Zhou, X Fan, K Wang, S Pan, Q Wen arXiv preprint arXiv:2501.00055, 2024 | 1 | 2024 |
