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Updated: Jul 12, 2025

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通过动态超图形对比学习预测多关系药物基因相互作用

Wen Tao1, Yuansheng Liu1, Xuan Lin2,3

  • 1College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082 Hunan, China.

Briefings in bioinformatics
|October 21, 2023
PubMed
概括

这项研究引入了一种新的动态超图对比学习 (DGCL) 框架,用于药物基因相互作用的预测. 通过捕捉本地和全球关系,DGCL提高了预测准确度,特别是稀疏的数据.

关键词:
相反的学习学习学习.药物基因相互作用图形神经网络的神经网络过度图形 (hypergraph) 是一个超图形.

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