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Ensembles of knowledge graph embedding models improve predictions for drug discovery

Recent advances in Knowledge Graphs (KGs) and Knowledge Graph Embedding Models (KGEMs) have led to their adoption in a broad range of fields and applications. The current publishing system in machine learning requires newly introduced KGEMs to achieve state-of-the-art performance, surpassing at leas...

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Detalles Bibliográficos
Autores principales:	Rivas-Barragan, Daniel, Domingo-Fernández, Daniel, Gadiya, Yojana, Healey, David
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Problem Solving Protocol
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677479/ https://www.ncbi.nlm.nih.gov/pubmed/36384050 http://dx.doi.org/10.1093/bib/bbac481

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