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 |