| Rethinking Node-wise Propagation for Large-scale Graph Learning X Li, J Ma, Z Wu, D Su, W Zhang, RH Li, G Wang Proceedings of the ACM Web Conference 2024, 560-569, 2024 | 8 | 2024 |
| Breaking the entanglement of homophily and heterophily in semi-supervised node classification H Sun, X Li, Z Wu, D Su, RH Li, G Wang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2379-2392, 2024 | 6 | 2024 |
| DCL: Diversified Graph Recommendation With Contrastive Learning D Su, B Fan, Z Zhang, H Fu, Z Qin IEEE Transactions on Computational Social Systems 11 (3), 4114-4126, 2024 | 3 | 2024 |
| Lightdic: A simple yet effective approach for large-scale digraph representation learning X Li, M Liao, Z Wu, D Su, W Zhang, RH Li, G Wang arXiv preprint arXiv:2401.11772, 2024 | 2 | 2024 |
| DiRW: Path-Aware Digraph Learning for Heterophily D Su, X Li, Z Li, Y Liao, RH Li, G Wang arXiv preprint arXiv:2410.10320, 2024 | 1 | 2024 |
| Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach X Li, D Su, Z Wu, G Zeng, H Qin, RH Li, G Wang arXiv preprint arXiv:2501.11817, 2025 | | 2025 |
| Towards Data-centric Machine Learning on Directed Graphs: a Survey H Sun, X Li, D Su, J Han, RH Li, G Wang arXiv preprint arXiv:2412.01849, 2024 | | 2024 |
Xunkai LiSchool of Computer Science and Technology, Beijing Institution of TechnologyVerifisert e-postadresse på bit.edu.cn