Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion

Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion

[Purposes] Clarifying the interconnections between drugs and genes is an important topic in drug development. At present, the graph neural network method based on the random walk algorithm has achieved great results in identifying drug-gene interaction relationships. However, existing methods with s...

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Bibliographic Details
Main Authors: HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2025-01-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
contrastive learning
graph representation learning
relational graph neural network
attention mechanism
gene-drug interaction prediction
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-2372.html
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