edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

BACKGROUND: Representation learning provides new and powerful graph analytical approaches and tools for the highly valued data science challenge of mining knowledge graphs. Since previous graph analytical methods have mostly focused on homogeneous graphs, an important current challenge is extending...

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Detalles Bibliográficos
Autores principales: Gao, Zheng, Fu, Gang, Ouyang, Chunping, Tsutsui, Satoshi, Liu, Xiaozhong, Yang, Jeremy, Gessner, Christopher, Foote, Brian, Wild, David, Ding, Ying, Yu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593489/
https://www.ncbi.nlm.nih.gov/pubmed/31238875
http://dx.doi.org/10.1186/s12859-019-2914-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593489/
https://www.ncbi.nlm.nih.gov/pubmed/31238875
http://dx.doi.org/10.1186/s12859-019-2914-2

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