| Towards graph foundation models: A survey and beyond J Liu, C Yang, Z Lu, J Chen, Y Li, M Zhang, T Bai, Y Fang, L Sun, PS Yu, ... arXiv preprint arXiv:2310.11829, 2023 | 93 | 2023 |
| A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources J Liu, C Shi, C Yang, Z Lu, SY Philip AI Open 3, 40-57, 2022 | 53 | 2022 |
| Data-centric graph learning: A survey Y Guo, D Bo, C Yang, Z Lu, Z Zhang, J Liu, Y Peng, C Shi IEEE Transactions on Big Data, 2024 | 21 | 2024 |
| Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics S Miao, Z Lu, M Liu, J Duarte, P Li ICML 2024, 2024 | 5 | 2024 |
| Heterogeneous Graph Transformer with Poly-Tokenization Z Lu, Y Fang, C Yang, C Shi IJCAI 2024, 2024 | 2 | 2024 |
| Distance Information Improves Heterogeneous Graph Neural Networks C Shi, H Ji, Z Lu, Y Tang, P Li, C Yang IEEE Transactions on Knowledge and Data Engineering, 2023 | | 2023 |
| xTrimoDock: Cross-Modal Transformer for Multi-Chain Protein Docking R Wang, S Li, X Wang, Z Lu, B Yang, H Li, C Shi, L Song | | 2022 |
