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Table 4 AUROC Score on miRNA-Disease Association Prediction

From: Heterogeneous network embedding enabling accurate disease association predictions

Method/Training ratio

50%

60%

70%

80%

90%

CATAPULT

0.811

0.833

0.843

0.867

0.877

HSMP

0.833

0.864

0.878

0.899

0.869

HSSVM

0.841

0.877

0.902

0.922

0.932

DeepWalk

0.498

0.511

0.534

0.611

0.677

LINE(1st+2nd)

0.780

0.795

0.829

0.813

0.804

DGI

0.501

0.483

0.496

0.516

0.512

TransE

0.473

0.477

0.481

0.469

0.464

AspEm

0.765

0.819

0.761

0.849

0.819

HeteWalk

0.937

0.951

0.953

0.946

0.969

  1. The best performance is in bold