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西北工业大学 国内
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Fusing graph transformer with multi-aggregate GCN for enhanced drug–disease associations prediction
Shihui He, Lijun Yun,
Haicheng Yi
计算机学院
Yunnan Normal University
Engineering Research Center of Computer Vision and Intelligent Control Technology
科研成果
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探究 'Fusing graph transformer with multi-aggregate GCN for enhanced drug–disease associations prediction' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Graph Convolutional Network
100%
Experimental Result
33%
Learning Framework
33%
Self-Attention Mechanism
33%
Transformer Network
33%
Heterogeneous Network
33%
Graph Information
33%
Graph Representation
33%
Collaborative Filtering
33%
Medicine and Dentistry
Diseases
100%
Cross-Validation
33%
Drug Repositioning
33%
Drug Safety
33%
Biomedical Research
33%
Adverse Drug Reaction
33%
Pharmacology, Toxicology and Pharmaceutical Science
Diseases
100%
Cross-Validation
33%
Drug Repositioning
33%
Adverse Drug Reaction
33%
Drug Safety
33%
Neuroscience
Face
100%
Biochemistry, Genetics and Molecular Biology
Drug Safety
100%