| Self-supervised learning on graphs: Contrastive, generative, or predictive L Wu, H Lin, C Tan, Z Gao, SZ Li IEEE Transactions on Knowledge and Data Engineering 35 (4), 4216-4235, 2021 | 248 | 2021 |
| Graphmixup: Improving class-imbalanced node classification on graphs by self-supervised context prediction L Wu, H Lin, Z Gao, C Tan, S Li arXiv preprint arXiv:2106.11133, 2021 | 62* | 2021 |
| Conditional Local Convolution for Spatio-temporal Meteorological Forecasting H Lin, Z Gao, Y Xu, L Wu, L Li, SZ Li Association for the Advancement of Artificial Intelligence 2022, 2022 | 56 | 2022 |
| Diffbp: Generative diffusion of 3d molecules for target protein binding H Lin, Y Huang, M Liu, X Li, S Ji, SZ Li arXiv preprint arXiv:2211.11214, 2022 | 55 | 2022 |
| MogaNet: Multi-order Gated Aggregation Network S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li The Twelfth International Conference on Learning Representations, 2023 | 47* | 2023 |
| Knowledge distillation improves graph structure augmentation for graph neural networks L Wu, H Lin, Y Huang, SZ Li Advances in Neural Information Processing Systems 35, 11815-11827, 2022 | 39 | 2022 |
| Beyond homophily and homogeneity assumption: Relation-based frequency adaptive graph neural networks L Wu, H Lin, B Hu, C Tan, Z Gao, Z Liu, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 23* | 2023 |
| Quantifying the knowledge in gnns for reliable distillation into mlps L Wu, H Lin, Y Huang, SZ Li International Conference on Machine Learning, 37571-37581, 2023 | 21 | 2023 |
| Deep clustering and visualization for end-to-end high-dimensional data analysis L Wu, L Yuan, G Zhao, H Lin, SZ Li IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8543-8554, 2022 | 21* | 2022 |
| Extracting low-/high-frequency knowledge from graph neural networks and injecting it into mlps: An effective gnn-to-mlp distillation framework L Wu, H Lin, Y Huang, T Fan, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10351 …, 2023 | 18 | 2023 |
| Beyond homophily and homogeneity assumption: Relation-based frequency adaptive graph neural networks L Wu, H Lin, B Hu, C Tan, Z Gao, Z Liu, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 16 | 2023 |
| Gnn cleaner: Label cleaner for graph structured data J Xia, H Lin, Y Xu, C Tan, L Wu, S Li, SZ Li IEEE Transactions on Knowledge and Data Engineering 36 (2), 640-651, 2023 | 14* | 2023 |
| Protein 3d graph structure learning for robust structure-based protein property prediction Y Huang, S Li, L Wu, J Su, H Lin, O Zhang, Z Liu, Z Gao, J Zheng, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12662 …, 2024 | 13* | 2024 |
| Exploring Generative Neural Temporal Point Process H Lin, L Wu, G Zhao, P Liu, SZ Li Transactions on Machine Learning Research, 2022 | 13 | 2022 |
| Mape-ppi: Towards effective and efficient protein-protein interaction prediction via microenvironment-aware protein embedding L Wu, Y Tian, Y Huang, S Li, H Lin, NV Chawla, SZ Li arXiv preprint arXiv:2402.14391, 2024 | 11 | 2024 |
| Functional-group-based diffusion for pocket-specific molecule generation and elaboration H Lin, Y Huang, O Zhang, Y Liu, L Wu, S Li, Z Chen, SZ Li Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation L Wu, H Lin, Z Gao, G Zhao, SZ Li IEEE Transactions on Knowledge and Data Engineering, 2024 | 9* | 2024 |
| An Empirical Study: Extensive Deep Temporal Point Process H Lin, C Tan, L Wu, Z Gao, S Li arXiv preprint arXiv:2110.09823, 2021 | 7 | 2021 |
| Psc-cpi: Multi-scale protein sequence-structure contrasting for efficient and generalizable compound-protein interaction prediction L Wu, Y Huang, C Tan, Z Gao, B Hu, H Lin, Z Liu, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 310-319, 2024 | 6 | 2024 |
| A survey on protein representation learning: Retrospect and prospect L Wu, Y Huang, H Lin, SZ Li arXiv preprint arXiv:2301.00813, 2022 | 5 | 2022 |
Stan Z. Li (李子青)Westlake University & CAS Institute of Automation在 westlake.edu.cn 的电子邮件经过验证
