Graph-level classification on Synthetic temporal-graph dataset (full)
94AccuracyGAT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GATFeatures=pooled node embeddings, Motif augmentation=true2026.05 | 94 | 93.98 | |
| RFFeatures=motif features only, GNN Readout=no2026.05 | 93.33 | 93.27 | |
| GCNFeatures=pooled node embeddings, Motif augmentation=true2026.05 | 92.67 | 92.61 | |
| SAGEFeatures=pooled node embeddings, Motif augmentation=true2026.05 | 91.67 | 91.45 | |
| SVMFeatures=motif features only, GNN Readout=no2026.05 | 80 | 79.48 | |
| GCNFeatures=pooled node embeddings, Motif augmentation=false2026.05 | 73.33 | 67.74 | |
| SAGEFeatures=pooled node embeddings, Motif augmentation=false2026.05 | 59.33 | 53.92 | |
| GATFeatures=pooled node embeddings, Motif augmentation=false2026.05 | 16.67 | 4.76 |