Graph Classification on PTC MM
73.63AccuracySpace Optimum
Evaluation Results
| Method | Links | |
|---|---|---|
| Space OptimumRefinement budget=1002025.07 | 73.63 | |
| M-DESIGNRefinement budget=1002025.07 | 73.63 | |
| RLRefinement budget=1002025.07 | 70.55 | |
| DesiGNNRefinement budget=1002025.07 | 70.55 | |
| Auto-GNNRefinement budget=1002025.07 | 70.5 | |
| GraphNASRefinement budget=1002025.07 | 70.2 | |
| AutoTransferRefinement budget=1002025.07 | 70.15 | |
| RandomRefinement budget=1002025.07 | 69.9 | |
| EARefinement budget=1002025.07 | 69.06 | |
| WLSPvalidation=10-fold cross validation2019.04 | 66.6 | |
| edGNNvalidation=10-fold cross validation, aggregation=max2019.04 | 66.1 | |
| EGCNevaluation protocol=10-fold cross-validation2025.12 | 66 | |
| EGIN-C-ϵevaluation protocol=10-fold cross-validation, epsilon parameter=retained2025.12 | 65.6 | |
| GATevaluation protocol=10-fold cross-validation2025.12 | 65 | |
| EGIN-E-ϵevaluation protocol=10-fold cross-validation, epsilon parameter=retained2025.12 | 64.9 | |
| EGIN-Eevaluation protocol=10-fold cross-validation, epsilon parameter=without2025.12 | 64.8 | |
| R-GCNvalidation=10-fold cross validation2019.04 | 64.7 | |
| edGNNvalidation=10-fold cross validation, aggregation=avg2019.04 | 64.4 | |
| EGIN-Cevaluation protocol=10-fold cross-validation, epsilon parameter=without2025.12 | 63.7 | |
| CSMvalidation=10-fold cross validation2019.04 | 63.3 | |
| EGIN-ϵevaluation protocol=10-fold cross-validation, epsilon parameter=retained2025.12 | 63 | |
| EGINevaluation protocol=10-fold cross-validation, epsilon parameter=without2025.12 | 62.3 | |
| GINevaluation protocol=10-fold cross-validation2025.12 | 60.4 | |
| GraphGymRefinement budget=1002025.07 | 59.2 | |
| NAS-Bench-GraphRefinement budget=1002025.07 | 58.7 | |
| DGCNNevaluation protocol=10-fold cross-validation2025.12 | 54.2 |