Open AccessDeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications
Author(s) -
Zongren Li,
Qin Zhong,
Jing Yang,
Yongjie Duan,
Wenjun Wang,
Chengkun Wu,
Kunlun He
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab767
Subject(s) - computer science , workflow , tuple , repurposing , inference , information retrieval , context (archaeology) , deep learning , knowledge extraction , graph , visualization , end to end principle , data science , data mining , artificial intelligence , database , theoretical computer science , ecology , paleontology , mathematics , discrete mathematics , biology
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