Node Classification on Cora ML (Budgeted Accuracy)
0.797Accuracy (5% Budget)RUNG-l1
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RUNG-l1variant=l12023.11 | 0.797 | 0.764 | 0.681 | 0.638 | 0.601 | |
| SoftMedian2023.11 | 0.792 | 0.756 | 0.678 | 0.629 | 0.586 | |
| RUNG2023.11 | 0.785 | 0.755 | 0.715 | 0.671 | 0.646 | |
| APPNP2023.11 | 0.763 | 0.711 | 0.63 | 0.571 | 0.532 | |
| GCN2023.11 | 0.749 | 0.697 | 0.607 | 0.54 | 0.487 |