G. Li, W. Sun, J. Xu, L. Hu, W. Zhang, P. Zhang. GA-ENs: A novel drug–target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty. Applied Soft Computing, 2023, 139: 110151. (SCI, 中科院二区，影响因子：7.2)
发布时间：2026-06-15
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- 发布时间：
- 2026-06-15
- 论文名称：
- G. Li, W. Sun, J. Xu, L. Hu, W. Zhang, P. Zhang. GA-ENs: A novel drug–target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty. Applied Soft Computing, 2023, 139: 110151. (SCI, 中科院二区，影响因子：7.2)
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- 否
- 上一条：G. Li, B. Zhao, X. Su, Y. Yang, P. Hu, X. Zhou, L. Hu. Discovering consensus regions for interpretable identification of RNA N6-methyladenosine modification sites via graph contrastive clustering. IEEE Journal of Biomedical and Health Informatics, 2024, 28(4), 2362-2372. (SCI, 中科院一区Top，影响因子：6.7)
- 下一条：G. Li, P. Zhang, W. Sun, C. Ren, L. Wang. Bridging-BPs: a novel approach to predict potential drug–target interactions based on a bridging heterogeneous graph and BPs2vec. Briefings in Bioinformatics, 2022, 23(2), bbab557. (SCI, 中科院二区Top，影响因子：6.8)