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Cited by in F6Publishing
For: Gu Y, Zheng S, Xu Z, Yin Q, Li L, Li J. An efficient curriculum learning-based strategy for molecular graph learning. Briefings in Bioinformatics. [DOI: 10.1093/bib/bbac099] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Gu Y, Zheng S, Zhang B, Kang H, Li J. MilGNet: A Multi-instance Learning-based Heterogeneous Graph Network for Drug repositioning. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022. [DOI: 10.1109/bibm55620.2022.9995152] [Reference Citation Analysis]
2 Gu Y, Zheng S, Yin Q, Jiang R, Li J. REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction. Computers in Biology and Medicine 2022;150:106127. [DOI: 10.1016/j.compbiomed.2022.106127] [Reference Citation Analysis]
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