PharmKG: a dedicated knowledge graph benchmark for bomedical data mining.

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作者： Shuangjia,Zheng ^[1] ; Jiahua,Rao ^[1] ; Ying,Song ^[2] ; Jixian,Zhang ^[3] ; Xianglu,Xiao ^[3] ; Evandro Fei,Fang ^[4] ; Yuedong,Yang ^[5] ; Zhangming,Niu ^[3]

作者单位： School of Data and Computer Science at the Sun Yat-Sen University. ^[1] School of Systems Science and Engineering at the Sun Yat-Sen University. ^[2] Aladdin Healthcare Technologies Ltd. ^[3] Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway. ^[4] School of Data and Computer Science and the National Super Computer Center at Guangzhou, Sun Yat-sen University, China. ^[5]

关键词 Alzheimer’s disease computational prediction model drug repositioning knowledge graph knowledge graph embedding

主题词规范(Benchmarking);生物医学研究(Biomedical Research);数据挖掘(Data Mining);人类(Humans);语义学(Semantics);软件(Software)

DOI 10.1093/bib/bbaa344

PMID 33341877

发布时间 2021-11-17

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