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 | 168 | 2024 |
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 | 44 | 2022 |
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 | 43 | 2022 |
Poisoning medical knowledge using large language models J Yang, H Xu, S Mirzoyan, T Chen, Z Liu, Z Liu, W Ju, L Liu, Z Xiao, ... Nature Machine Intelligence 6 (10), 1156-1168, 2024 | 21* | 2024 |
Towards Graph Contrastive Learning: A Survey and Beyond W Ju, Y Wang, Y Qin, Z Mao, Z Xiao, J Luo, J Yang, Y Gu, D Wang, ... arXiv preprint arXiv:2405.11868, 2024 | 13 | 2024 |
MOL-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective J Yang, K Zheng, S Long, Z Nie, M Zhang, X Dai, WY Ma, H Zhou ICML 2024, 2024 | 4 | 2024 |
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 |
ESM All-Atom: 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 ICML 2024, 0 | 2 | |
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 ICML 2024, 2024 | 1 | 2024 |
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks Z Liu, K Duan, J Yang, H Xu, M Zhang, S Wang EMNLP 2022, 2022 | 1 | 2022 |