| 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 | 11 | 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 | 9 | 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 | 8 | 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 | 6 | 2024 |
| Graph Lottery Ticket Automated G Zhang, K Wang, W Huang, Y Yue, Y Wang, R Zimmermann, A Zhou, ... International Conference on Learning Representations (ICLR), 2024 | 5 | 2024 |
| DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting H Wu, H Wen, G Zhang, Y Xia, K Wang, Y Liang, Y Zheng, K Wang arXiv preprint arXiv:2403.02914, 2024 | 1 | 2024 |
| CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks Y Duan, G Zhang, S Wang, X Peng, W Ziqi, J Mao, H Wu, X Jiang, K Wang arXiv preprint arXiv:2402.14708, 2024 | 1 | 2024 |
| NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling K Wang, H Wu, Y Duan, G Zhang, K Wang, X Peng, Y Zheng, Y Liang, ... The Twelfth International Conference on Learning Representations, 2024 | 1 | 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 arXiv preprint arXiv:2406.12539, 2024 | | 2024 |
| Graph Sparsification via Mixture of Graphs G Zhang, X Sun, Y Yue, K Wang, T Chen, S Pan arXiv preprint arXiv:2405.14260, 2024 | | 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 |
| All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN S Wang, H Wu, Y Duan, G Zhang, G Li, Y Liang, S Pan, K Wang, Y Wang arXiv preprint arXiv:2405.07892, 2024 | | 2024 |
Kun WangUniversity of Science and Technology of China (USTC)在 mail.ustc.edu.cn 的电子邮件经过验证
