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Table 3 AUROC Score on Gene-Disease Association Prediction

From: Heterogeneous network embedding enabling accurate disease association predictions

Method/Training ratio

50%

60%

70%

80%

90%

CATAPULT

0.611

0.619

0.622

0.659

0.685

HSMP

0.621

0.625

0.679

0.708

0.747

HSSVM

0.609

0.653

0.693

0.734

0.779

DeepWalk

0.454

0.461

0.481

0.433

0.477

LINE(1st+2nd)

0.638

0.655

0.647

0.667

0.661

DGI

0.523

0.527

0.549

0.561

0.534

TransE

0.488

0.496

0.492

0.488

0.496

AspEm

0.639

0.667

0.659

0.657

0.681

HeteWalk

0.638

0.674

0.723

0.759

0.798

  1. The best performance is in bold