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An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.

Jiajie PengYuxian WangJiaojiao GuanJingyi LiRuijiang HanJianye HaoZhongyu WeiXuequn Shang
Published in: Briefings Bioinform. (2021)
Keyphrases
  • end to end
  • graph representation
  • real time
  • web services
  • ad hoc networks
  • graph model