| SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation J Xia, L Wu, J Chen, B Hu, SZ Li WWW 2022, 0 | 313* | |
| ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning J Xia, L Wu, J Chen, G Wang, SZ Li ICML 2022, 2022 | 142 | 2022 |
| Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules J Xia, C Zhao, B Hu, Z Gao, C Tan, Y Liu, S Li, SZ Li ICLR 2023, 2023 | 136 | 2023 |
| Co-learning: Learning from noisy labels with self-supervision C Tan, J Xia, L Wu, SZ Li ACM MM 2021, 2021 | 125 | 2021 |
| Temporal attention unit: Towards efficient spatiotemporal predictive learning C Tan, Z Gao, S Li, Y Xu, J Xia, LI Siyuan, SZ Li CVPR 2023, 2022 | 120 | 2022 |
| Graphmixup: Improving class-imbalanced node classification by reinforcement mixup and self-supervised context prediction L Wu, J Xia, Z Gao, H Lin, C Tan, SZ Li ECML PKDD 2022, 2023 | 86* | 2023 |
| CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment J Zheng, Y Wang, C Tan, S Li, G Wang, J Xia, Y Chen, SZ Li CVPR 2023, 2023 | 74 | 2023 |
| A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Y Liu, J Xia, S Zhou, X Yang, K Liang, C Fan, Y Zhuang, SZ Li, X Liu, K He arXiv preprint arXiv:2211.12875, 2022 | 68 | 2022 |
| Dink-net: Neural clustering on large graphs Y Liu, K Liang, J Xia, S Zhou, X Yang, X Liu, SZ Li ICML 2023, 2023 | 57 | 2023 |
| A survey of pretraining on graphs: Taxonomy, methods, and applications J Xia, Y Zhu, Y Du, SZ Li arXiv preprint arXiv:2202.07893, 2022 | 54 | 2022 |
| A Systematic Survey of Chemical Pre-trained Models J Xia, Y Zhu, Y Du, SZ Li IJCAI 2023, 2022 | 53* | 2022 |
| Generative de novo protein design with global context C Tan, Z Gao, J Xia, B Hu, SZ Li arXiv preprint arXiv:2204.10673, 2022 | 44 | 2022 |
| Convert: Contrastive graph clustering with reliable augmentation X Yang, C Tan, Y Liu, K Liang, S Wang, S Zhou, J Xia, SZ Li, X Liu, E Zhu Proceedings of the 31st ACM International Conference on Multimedia, 319-327, 2023 | 39 | 2023 |
| Protein language models and structure prediction: Connection and progression B Hu, J Xia, J Zheng, C Tan, Y Huang, Y Xu, SZ Li arXiv preprint arXiv:2211.16742, 2022 | 32 | 2022 |
| Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions J Xia, L Zhang, X Zhu, Y Liu, Z Gao, B Hu, C Tan, J Zheng, S Li, SZ Li NeurIPS 2023, 2023 | 30* | 2023 |
| Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings J Zheng, Y Wang, G Wang, J Xia, Y Huang, G Zhao, Y Zhang, S Li ACL 2022 1, 8154-8163, 2022 | 27 | 2022 |
| Reinforcement graph clustering with unknown cluster number Y Liu, K Liang, J Xia, X Yang, S Zhou, M Liu, X Liu, SZ Li Proceedings of the 31st ACM international conference on multimedia, 3528-3537, 2023 | 24 | 2023 |
| GNN Cleaner: Label Cleaner for Graph Structured Data J Xia, H Lin, Y Xu, C Tan, L Wu, S Li, SZ Li TKDE 2023, 2023 | 24* | 2023 |
| A Survey of Deep Graph Clustering: Taxonomy Y Liu, J Xia, S Zhou, S Wang, X Guo, X Yang, K Liang, W Tu, ZS Li, X Liu Challenge, and Application, 2022 | 22 | 2022 |
| KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement Z Gao, C Tan, X Chen, Y Zhang, J Xia, S Li, SZ Li ICLR 2024, 2023 | 20* | 2023 |
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationVerifierad e-postadress på westlake.edu.cn