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

Internet

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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