Graph Classification on PTC FM
70.53AccuracySpace Optimum
Evaluation Results
| Method | Links | |
|---|---|---|
| Space OptimumRefinement budget=1002025.07 | 70.53 | |
| M-DESIGNRefinement budget=1002025.07 | 70.53 | |
| RLRefinement budget=1002025.07 | 69.18 | |
| DesiGNNRefinement budget=1002025.07 | 69.09 | |
| RandomRefinement budget=1002025.07 | 69.04 | |
| CH-CL2026.04 | 68.9 | |
| EARefinement budget=1002025.07 | 68.75 | |
| GraphNASRefinement budget=1002025.07 | 68.7 | |
| GMCL2026.04 | 68.47 | |
| Auto-GNNRefinement budget=1002025.07 | 68.12 | |
| AutoTransferRefinement budget=1002025.07 | 67.15 | |
| TopoGCL2026.04 | 67.11 | |
| GCL-SPAN2026.04 | 66.67 | |
| GraphCL2026.04 | 65.26 | |
| GraphGymRefinement budget=1002025.07 | 65.22 | |
| AD-GCL2026.04 | 64.99 | |
| 2-WLMethod category=Kernel2018.10 | 64.7 | |
| CI-GCL2026.04 | 64.53 | |
| RGCL2026.04 | 64.29 | |
| CSMvalidation=10-fold cross validation2019.04 | 63.8 | |
| WL2022.05 | 63.7 | |
| AutoGCL2026.04 | 63.62 | |
| NCWalpha=1000, beta=02022.05 | 63.4 | |
| EGIN-E-epsilonepsilon parameter=retained, validation=10-fold cross-validation2025.12 | 63.4 | |
| EGIN-epsilonepsilon parameter=retained, validation=10-fold cross-validation2025.12 | 63.1 | |
| 1-WLMethod category=Kernel2018.10 | 62.9 | |
| EGIN-C-epsilonepsilon parameter=retained, validation=10-fold cross-validation2025.12 | 62.9 | |
| 1-2-3-GNNTuning status=Tuned, Method category=GNN2018.10 | 62.8 | |
| WL-OAMethod category=Kernel2018.10 | 62.7 | |
| 1-WLType=Baseline2019.04 | 62.6 | |
| δ-2-LWL+Type=Local Kernel2019.04 | 62.6 | |
| EGIN-Cepsilon parameter=not retained, validation=10-fold cross-validation2025.12 | 62.6 | |
| EGINepsilon parameter=not retained, validation=10-fold cross-validation2025.12 | 62.4 | |
| 2-WLType=Global Kernel2019.04 | 62.3 | |
| NCWWL2022.05 | 62.3 | |
| edGNNvalidation=10-fold cross validation, aggregation=max2019.04 | 62.2 | |
| SHORTEST-PATHMethod category=Kernel2018.10 | 62.1 | |
| EGIN-Eepsilon parameter=not retained, validation=10-fold cross-validation2025.12 | 62.1 | |
| δ-2-WLType=Global Kernel2019.04 | 61.9 | |
| WLOAType=Baseline2019.04 | 61.8 | |
| InfoGraph2026.04 | 61.55 | |
| 3-WLType=Global Kernel2019.04 | 61.5 | |
| 3-WLMethod category=Kernel2018.10 | 61.5 | |
| GRType=Baseline2019.04 | 61.3 | |
| SPType=Baseline2019.04 | 61.3 | |
| δ-3-LWLType=Local Kernel2019.04 | 61.3 | |
| δ-3-LWL+Type=Local Kernel2019.04 | 61.3 | |
| δ-3-WLType=Global Kernel2019.04 | 61.2 | |
| R-GCNvalidation=10-fold cross validation2019.04 | 60.7 | |
| WLSPvalidation=10-fold cross validation2019.04 | 60.4 | |
| SP2022.05 | 60.4 | |
| δ-2-LWLType=Local Kernel2019.04 | 60.3 | |
| 1-2-3-GNNTuning status=No Tuning, Method category=GNN2018.10 | 60 | |
| JOAO2026.04 | 59.98 | |
| edGNNvalidation=10-fold cross validation, aggregation=avg2019.04 | 59.8 | |
| 1-GNNTuning status=Tuned, Method category=GNN2018.10 | 59.3 | |
| EGCNvalidation=10-fold cross-validation2025.12 | 59.1 | |
| 1-GNNTuning status=No Tuning, Method category=GNN2018.10 | 59 | |
| GATvalidation=10-fold cross-validation2025.12 | 59 | |
| GRAPHLETMethod category=Kernel2018.10 | 58.3 | |
| Gin-0Type=Neural2019.04 | 58.2 | |
| VL2022.05 | 58 | |
| GL32022.05 | 57.9 | |
| EL2022.05 | 57.8 | |
| GH2022.05 | 57.8 | |
| Gin-εType=Neural2019.04 | 57.7 | |
| RW2022.05 | 57.3 | |
| GINvalidation=10-fold cross-validation2025.12 | 55.2 | |
| DGCNNvalidation=10-fold cross-validation2025.12 | 54.1 | |
| NAS-Bench-GraphRefinement budget=1002025.07 | 47.34 |