| 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 | 21 | 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 | 17* | 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 | 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 | 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, ... (co-first author) IEEE Transactions on Knowledge and Data Engineering, 2024 | 10 | 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, ... ICML 2024, 2024 | 10 | 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 | 9 | 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 (co-first author) KDD 2024, 2024 | 5 | 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 | 5 | 2024 |
| Graph Sparsification via Mixture of Graphs G Zhang, X Sun, Y Yue, C Jiang, K Wang, T Chen, S Pan arXiv preprint arXiv:2405.14260, 2024 | 3 | 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 | 3 | 2024 |
| Cut the crap: An economical communication pipeline for llm-based multi-agent systems G Zhang, Y Yue, Z Li, S Yun, G Wan, K Wang, D Cheng, JX Yu, T Chen arXiv preprint arXiv:2410.02506, 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 |
| NetSafe: Exploring the Topological Safety of Multi-agent Networks M Yu, S Wang, G Zhang, J Mao, C Yin, Q Liu, Q Wen, K Wang, Y Wang arXiv preprint arXiv:2410.15686, 2024 | 1 | 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 | 1 | 2024 |
| Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization D Chen, Z Li, Y Ni, G Zhang, D Wang, Q Liu, S Wu, JX Yu, L Wang NeurIPS 2024, 2024 | 1 | 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 | 1 | 2024 |
| GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning G Zhang, H Dong, Y Zhang, Z Li, D Chen, K Wang, T Chen, Y Liang, ... NeurIPS 2024, 2024 | | 2024 |
| Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective J Li, R Wu, Y Zhu, H Zhang, X Jin, G Zhang, Z Zhu, Z Zheng, L Chen arXiv preprint arXiv:2410.10241, 2024 | | 2024 |
| Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia M Yu, J Mao, G Zhang, J Ye, J Fang, A Zhong, Y Liu, Y Liang, K Wang, ... arXiv preprint arXiv:2410.01677, 2024 | | 2024 |
Kun WangPh.D. candidate @ USTC| Data Science @ NUS @Squirrel AI @ NTUVerified email at mail.ustc.edu.cn
