Node Classification on EAT 5% (train/val)
37.2AccuracyGG-C
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GG-CNumber of GNN layers=3, Training ratio=5%2025.07 | 37.2 | 0.23 | |
| GG-CNumber of GNN layers=2, Training ratio=5%2025.07 | 37 | 0.22 | |
| CutSSLTraining ratio=5%2025.07 | 36.5 | 0.77 | |
| GEETraining ratio=5%2025.07 | 36.4 | 0 | |
| GGNumber of GNN layers=2, Training ratio=5%2025.07 | 35.1 | 0.22 | |
| GGNumber of GNN layers=3, Training ratio=5%2025.07 | 34.7 | 0.23 | |
| GNNNumber of GNN layers=3, Training ratio=5%2025.07 | 33.4 | 0.24 | |
| GNNNumber of GNN layers=2, Training ratio=5%2025.07 | 32.1 | 0.21 |