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Jul, 2023
关系感知的子图嵌入与共同对比学习用于药物相互作用预测
Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction
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Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin
TL;DR
设计了一种基于关系感知子图嵌入的跨视图协同对比学习方法(RaSECo),通过构建多种属性的药物相似性图,实现了药物的有效嵌入,实验表明该方法在药物相互作用预测等任务上具有优越的表现。
Abstract
relation-aware subgraph embedding
is promising for predicting multi-relational
drug-drug interactions
(DDIs). Typically, most existing methods begin by constructing a multi-relational DDI graph and then learning
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