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  • [\'College of Computer Science and Electronic Engineering, Hunan University, Changsha 410000, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.\', \'School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.\', \'Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 138632, Singapore.\', \'College of Computer Science and Electronic Engineering, Hunan University, Changsha 410000, China.\', \'College of Computer Science and Electronic Engineering, Hunan University, Changsha 410000, China. Electronic address: luojiawei@hnu.edu.cn.\', \'Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 138632, Singapore. Electronic address: xlli@i2r.a-star.edu.sg.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S1046-2023(21)00201-210.1016/j.ymeth.2021.08.003
?:hasPublicationType
?:journal
  • Methods (San Diego, Calif.)
is ?:pmid of
?:pmid
?:pmid
  • 34419588
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Heterogeneous graph attention networks for drug virus association prediction.
?:type
?:year
  • 2022

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