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Table 3 AUROC Score on Gene-Disease Association Prediction

From: Heterogeneous network embedding enabling accurate disease association predictions

Method/Training ratio50%60%70%80%90%
CATAPULT0.6110.6190.6220.6590.685
HSMP0.6210.6250.6790.7080.747
HSSVM0.6090.6530.6930.7340.779
DeepWalk0.4540.4610.4810.4330.477
LINE(1st+2nd)0.6380.6550.6470.6670.661
DGI0.5230.5270.5490.5610.534
TransE0.4880.4960.4920.4880.496
AspEm0.6390.6670.6590.6570.681
HeteWalk0.6380.6740.7230.7590.798
  1. The best performance is in bold