Rlfdda: a meta-path based graph representation learning model for drug-disease association prediction

HIGHLIGHTS

  • who: Meng-Long Zhang from the Chinese Academy of Sciences, Urumqi, China University of Chinese Academy have published the paper: RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction, in the Journal: (JOURNAL)
  • what: The authors propose novel meta-path representation learning model namely to predict potential DDAs on heterogeneous biou2011 logical networks. first calculates drug-drug similarities and disease-disease similarities as the intrinsic biological features of drugs and diseases. heterogeneous network is then constructed by integrating DDAs disease-protein associations and drug-protein associations. To address the above . . .

     

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