Node Classification on BA-Shapes
100AccuracyR-CBMs
Evaluation results
| Method | Links | ||
|---|---|---|---|
| R-CBMs2026.04 | 100 | — | |
| CGC2026.04 | 98.86 | — | |
| CGC2026.04 | 98.86 | — | |
| Pure CGC2026.04 | 98.71 | — | |
| Pure CGC2026.04 | 98.71 | — | |
| GCN2026.04 | 96.86 | — | |
| GAT2026.04 | 47.14 | — | |
| CGCEvaluation Layer=Final convolutional layer2026.04 | — | 96.71 | |
| GATEvaluation Layer=Final convolutional layer2026.04 | — | 47.14 | |
| GCNEvaluation Layer=Final convolutional layer2026.04 | — | 95.29 | |
| Pure CGCEvaluation Layer=Final convolutional layer2026.04 | — | 84.57 |