| A comprehensive survey on deep graph representation learning W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ... Neural Networks, 106207, 2024 | 35 | 2024 |
| Ghnn: Graph harmonic neural networks for semi-supervised graph-level classification W Ju, X Luo, Z Ma, J Yang, M Deng, M Zhang Neural Networks 151, 70-79, 2022 | 31 | 2022 |
| Kgnn: Harnessing kernel-based networks for semi-supervised graph classification W Ju, J Yang, M Qu, W Song, J Shen, M Zhang Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 26 | 2022 |
| Poisoning scientific knowledge using large language models J Yang, H Xu, S Mirzoyan, T Chen, Z Liu, W Ju, L Liu, M Zhang, S Wang bioRxiv, 2023.11. 06.565928, 2023 | 3 | 2023 |
| Pathway2text: Dataset and method for biomedical pathway description generation J Yang, Z Liu, M Zhang, S Wang Findings of the Association for Computational Linguistics: NAACL 2022, 1441-1454, 2022 | 2 | 2022 |
| Multi-Scale Protein Language Model for Unified Molecular Modeling K Zheng, S Long, T Lu, J Yang, X Dai, M Zhang, Z Nie, WY Ma, H Zhou bioRxiv, 2024.03. 04.583284, 2024 | | 2024 |
| MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks Z Liu, K Duan, J Yang, H Xu, M Zhang, S Wang arXiv preprint arXiv:2210.07488, 2022 | | 2022 |
Ming Zhang（张铭）Professor,Peking Universitypku.edu.cn의 이메일 확인됨
