Graph Classification on Grid-House
100Model AccuracyGIP
Evaluation results
| Method | Links | |
|---|---|---|
| GIPModel Architecture=GIP2026.04 | 100 | |
| SCNModel Architecture=Subgraph Concept Network2026.04 | 89.5 | |
| CGNModel Architecture=Concept Graph Network, Pooling Method=mean pool2026.04 | 80.4 | |
| GCN2026.04 | 63 | |
| Pure CGC2026.04 | 55.5 | |
| CGC2026.04 | 55.4 | |
| CGNModel Architecture=Concept Graph Network, Pooling Method=DiffPool2026.04 | 50 | |
| GAT2026.04 | 50 |