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Updated: Jan 18, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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基基:知识导向图表 自主监督学习以提高分子性质预测.

Van-Thinh To1, Phuoc-Chung Van Nguyen1, Gia-Bao Truong1

  • 1Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, 41 Dinh Tien Hoang, District 1, Ho Chi Minh City 700000, Vietnam.

Journal of chemical information and modeling
|September 8, 2025
PubMed
概括

这项研究引入了用于分子性质预测的知识导向图 (KGG) 框架. KGG使用具有轨道特征的自我监督学习,有效地增强图形神经网络 (GNN) 模型,即使数据有限.

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