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SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization
MOTIVATION: Thanks to the increasing availability of drug–drug interactions (DDI) datasets and large biomedical knowledge graphs (KGs), accurate detection of adverse DDI using machine learning models becomes possible. However, it remains largely an open problem how to effectively utilize large and n...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060701/ https://www.ncbi.nlm.nih.gov/pubmed/33769494 http://dx.doi.org/10.1093/bioinformatics/btab207 |