| KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction X Lin, Z Quan, ZJ Wang, T Ma, X Zeng The 29th International Joint Conference on Artificial Intelligence (IJCAI …, 2020 | 326 | 2020 |
| Deep learning for drug repurposing: Methods, databases, and applications X Pan, X Lin, D Cao, X Zeng, PS Yu, L He, R Nussinov, F Cheng Wiley Interdisciplinary Reviews: Computational Molecular Science, e1597, 2022 | 124 | 2022 |
| A novel molecular representation with BiGRU neural networks for learning atom X Lin, Z Quan, ZJ Wang, H Huang, X Zeng Briefings in Bioinformatics, 2019 | 112 | 2019 |
| DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction X Lin, K Zhao, T Xiao, Z Quan, ZJ Wang, PS Yu The 24th European Conference on Artificial Intelligence (ECAI), 2020 | 74 | 2020 |
| Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction X Lin, L Dai, Y Zhou, ZG Yu, W Zhang, JY Shi, DS Cao, L Zeng, H Chen, ... Briefings in Bioinformatics, 2023 | 41 | 2023 |
| GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction Z Quan, Y Guo, X Lin, ZJ Wang, X Zeng IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019 | 39 | 2019 |
| A System for Learning Atoms Based on Long Short-Term Memory Recurrent Neural Networks Z Quan, X Lin, ZJ Wang, Y Liu, F Wang, K Li IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 728-733, 2018 | 37 | 2018 |
| A Novel Model for Imbalanced Data Classification J Yin, C Gan, K Zhao, X Lin, Z Quan, ZJ Wang The 34th AAAI Conference on Artifical Intelligence (AAAI), 2020 | 33 | 2020 |
| KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction T Ma, X Lin*, B Song, PS Yu, X Zeng* IEEE Transactions on Knowledge and Data Engineering, 2022 | 30 | 2022 |
| Pretraining model for biological sequence data B Song, Z Li, X Lin, J Wang, T Wang, X Fu Briefings in Functional Genomics 20 (3), 181-195, 2021 | 28 | 2021 |
| Prediction of multi-relational drug–gene interaction via Dynamic hyperGraph Contrastive Learning W Tao, Y Liu, X Lin, B Song, X Zeng Briefings in Bioinformatics 24 (6), bbad371, 2023 | 12 | 2023 |
| Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation X Lin, Z Quan, ZJ Wang, Y Guo, X Zeng, SY Philip IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 9 | 2022 |
| Predicting the disease risk of protein mutation sequences with pre-training model K Li, Y Zhong, X Lin, Z Quan Frontiers in Genetics 11, 1535, 2020 | 9 | 2020 |
| Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction T Ma, Y Chen, W Tao, D Zheng, X Lin, CI Pang, Y Liu, Y Wang, L Wang, ... IEEE Transactions on Knowledge and Data Engineering, 2024 | 2* | 2024 |
| Interpretable multi-view attention network for drug-drug interaction prediction X Lin, Q Wen, S Yang, ZG Yu, Y Long, X Zeng 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| DualSyn: A dual-level feature interaction method to predict synergistic drug combinations Z Chen, Z Li, X Shen, Y Liu, X Lin, D Zeng, X Zeng Expert Systems with Applications 257, 125065, 2024 | | 2024 |
| CTF-DDI: Constrained tensor factorization for drug–drug interactions prediction G Han, L Peng, A Ding, Y Zhang, X Lin Future Generation Computer Systems 161, 26-34, 2024 | | 2024 |
| Bridging chemical structure and conceptual knowledge enables accurate prediction of compound-protein interaction W Tao, X Lin, Y Liu, L Zeng, T Ma, N Cheng, J Jiang, X Zeng, S Yuan BMC biology 22 (1), 248, 2024 | | 2024 |
| Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development T Ma, X Lin, T Li, C Li, L Chen, P Zhou, X Cai, X Yang, D Zeng, D Cao, ... arXiv preprint arXiv:2410.11550, 2024 | | 2024 |
Xiangxiang ZengDeparment of Computer Science, Hunan UniversityVerified email at hnu.edu.cn
