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A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development

BACKGROUND: Knowledge graph embedding is an effective semantic representation method for entities and relations in knowledge graphs. Several translation-based algorithms, including TransE, TransH, TransR, TransD, and TranSparse, have been proposed to learn effective embedding vectors from typical kn...

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Detalles Bibliográficos
Autores principales:	Li, Linfeng, Wang, Peng, Wang, Yao, Wang, Shenghui, Yan, Jun, Jiang, Jinpeng, Tang, Buzhou, Wang, Chengliang, Liu, Yuting
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273238/ https://www.ncbi.nlm.nih.gov/pubmed/32436854 http://dx.doi.org/10.2196/17645

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