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HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks.

Bo-Wei ZhaoLun HuZhu-Hong YouLei WangXiao-Rui Su
Published in: Briefings Bioinform. (2022)
Keyphrases
  • graph representation
  • learning algorithm
  • incremental learning
  • active learning
  • supervised learning
  • graph model
  • keywords
  • feature vectors
  • low level
  • markov chain
  • random walk