| node-classification-on-log-angeles | ChebNet | #2 | Average Top-1 Accuracy: 54.1 ± 0.2 |
| node-classification-on-log-angeles | GraphSAGE | #3 | Average Top-1 Accuracy: 53.3 ± 0.7 |
| node-classification-on-log-angeles | SGFormer | #4 | Average Top-1 Accuracy: 47.2 ± 0.5 |
| node-classification-on-log-angeles | GCN | #5 | Average Top-1 Accuracy: 45.9 ± 1.0 |
| node-classification-on-london | ChebNet | #2 | Average Top-1 Accuracy: 49.4 ± 0.4 |
| node-classification-on-london | GraphSAGE | #3 | Average Top-1 Accuracy: 48.2 ± 0.8 |
| node-classification-on-london | SGFormer | #4 | Average Top-1 Accuracy: 45.7 ± 0.3 |
| node-classification-on-london | GCN | #5 | Average Top-1 Accuracy: 43.8 ± 0.3 |
| node-classification-on-paris | ChebNet | #2 | Average Top-1 Accuracy: 49.5 ± 0.4 |
| node-classification-on-paris | GraphSAGE | #3 | Average Top-1 Accuracy: 49.1 ± 0.6 |
| node-classification-on-paris | GCN | #4 | Average Top-1 Accuracy: 47.3 ± 0.2 |
| node-classification-on-paris | SGFormer | #5 | Average Top-1 Accuracy: 45.0 ± 0.2 |
| node-classification-on-shanghai | GraphSAGE | #2 | Average Top-1 Accuracy: 60.4 ± 0.3 |
| node-classification-on-shanghai | ChebNet | #3 | Average Top-1 Accuracy: 57.9 ± 1.4 |
| node-classification-on-shanghai | SGFormer | #4 | Average Top-1 Accuracy: 53.5 ± 0.3 |
| node-classification-on-shanghai | GCN | #5 | Average Top-1 Accuracy: 52.4 ± 0.3 |