Node Classification on Chameleon 5% (train val)
33.3AccuracyGG-C
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GG-CNumber of GNN layers=2, Training ratio=5%2025.07 | 33.3 | 0.56 | |
| GG-CNumber of GNN layers=3, Training ratio=5%2025.07 | 33.2 | 0.65 | |
| GNNNumber of GNN layers=3, Training ratio=5%2025.07 | 29.5 | 0.64 | |
| GNNNumber of GNN layers=2, Training ratio=5%2025.07 | 28.8 | 0.57 | |
| GGNumber of GNN layers=3, Training ratio=5%2025.07 | 27.9 | 0.65 | |
| GGNumber of GNN layers=2, Training ratio=5%2025.07 | 27 | 0.56 | |
| GEETraining ratio=5%2025.07 | 26.7 | 0.01 | |
| CutSSLTraining ratio=5%2025.07 | 19.8 | 16.24 |