Node Classification on DBLP (5% train val)
38.2AccuracyCutSSL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CutSSLTraining ratio=5%2025.07 | 38.2 | 5.46 | |
| GG-CNumber of GNN layers=3, Training ratio=5%2025.07 | 34.2 | 0.3 | |
| GG-CNumber of GNN layers=2, Training ratio=5%2025.07 | 33.6 | 0.28 | |
| GGNumber of GNN layers=3, Training ratio=5%2025.07 | 33.4 | 0.3 | |
| GGNumber of GNN layers=2, Training ratio=5%2025.07 | 32.9 | 0.28 | |
| GEETraining ratio=5%2025.07 | 31.6 | 0 | |
| GNNNumber of GNN layers=3, Training ratio=5%2025.07 | 29.9 | 0.29 | |
| GNNNumber of GNN layers=2, Training ratio=5%2025.07 | 29.7 | 0.3 |