Node Classification on Amazon2M (test)
89.72AccuracyVecFormer
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VecFormer2026.02 | 89.72 | — | |
| SGFormer2026.02 | 89.09 | — | |
| NodeFormer2026.02 | 87.85 | — | |
| GAT-NSampler2026.02 | 85.17 | — | |
| GCN2026.02 | 83.9 | — | |
| GCN-NSampler2026.02 | 83.84 | — | |
| SGC2026.02 | 81.21 | — | |
| SIGN2026.02 | 80.98 | — | |
| MLP2026.02 | 63.46 | — | |
| Cluster-GCNNumber of layers=2, Time=1223s, Memory=2228 MB2019.05 | — | 89 | |
| Cluster-GCNNumber of layers=3, Time=1523s, Memory=2235 MB2019.05 | — | 90.21 | |
| Cluster-GCNNumber of layers=4, Time=2289s, Memory=2241 MB2019.05 | — | 90.41 | |
| VRGCNNumber of layers=2, Time=337s, Memory=7476 MB2019.05 | — | 89.03 | |
| VRGCNNumber of layers=3, Time=1961s, Memory=11218 MB2019.05 | — | 90.21 |