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Table 4 AUROC Score on miRNA-Disease Association Prediction

From: Heterogeneous network embedding enabling accurate disease association predictions

Method/Training ratio50%60%70%80%90%
CATAPULT0.8110.8330.8430.8670.877
HSMP0.8330.8640.8780.8990.869
HSSVM0.8410.8770.9020.9220.932
DeepWalk0.4980.5110.5340.6110.677
LINE(1st+2nd)0.7800.7950.8290.8130.804
DGI0.5010.4830.4960.5160.512
TransE0.4730.4770.4810.4690.464
AspEm0.7650.8190.7610.8490.819
HeteWalk0.9370.9510.9530.9460.969
  1. The best performance is in bold