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Table 6 SNF-NN performance comparison with state-of-the-art models for drug-disease interaction prediction on the LRSSL benchmark dataset

From: SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks

Year Method AUC-ROC AUC-PR
2013 KBMF [59] 0.648 0.130
2016 NRLMF [24] 0.872 0.326
2016 MBiRW [17] 0.816 0.167
2018 DRRS [23] 0.794 0.073
2018 SCMFDD [25] 0.724 0.032
2019 DisDrugPred [26] 0.872 0.278
2020 DRIMC [27] 0.908 0.336
2020 SNF-NN 0.936 0.903
  1. The best value of each evaluation metric is shown in bold