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 |