TABLE 3.
Comparison with four GNN methods in two cell-specific datasets under leave-gene-out evaluation setting.
Model | K562 | Jurkat | ||||
---|---|---|---|---|---|---|
ROC-AUC | AUPR | Precision@5 | ROC-AUC | AUPR | Precision@10 | |
DDGCN | - | - | - | - | - | - |
GCATSL | 0.523 | 0.516 | 0.528 | 0.508 | 0.552 | 0.521 |
KG4SL | 0.508 | 0.508 | 0.515 | 0.501 | 0.505 | 0.318 |
PiLSL | 0.627 | 0.616 | 0.611 | 0.629 | 0.608 | 0.667 |
MVGCN-iSL | 0.642 | 0.623 | 0.632 | 0.596 | 0.643 | 0.598 |