JOURNAL ARTICLE

Semi-supervised heterogeneous graph contrastive learning for drug–target interaction prediction

Keywords:
Computer science Generalization Graph Artificial intelligence Machine learning Drug target Similarity (geometry) Theoretical computer science Image (mathematics) Mathematics Medicine

Metrics

28
Cited By
8.65
FWCI (Field Weighted Citation Impact)
65
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Pharmacogenetics and Drug Metabolism
Life Sciences →  Pharmacology, Toxicology and Pharmaceutics →  Pharmacology

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