Graph Classification on PTC standard
66.6AccuracyMEAN-MLP
Evaluation results
| Method | Links | |
|---|---|---|
| MEAN-MLPAggregation=MEAN, Architecture=MLP2018.10 | 66.6 | |
| SUM-MLP (GIN-0)Aggregation=SUM, Architecture=MLP2018.10 | 64.6 | |
| MAX-MLPAggregation=MAX, Architecture=MLP2018.10 | 64.6 | |
| MEAN-1-LAYER (GCN)Aggregation=MEAN, Architecture=1-layer2018.10 | 64.2 | |
| MAX-1-LAYER (GraphSAGE)Aggregation=MAX, Architecture=1-layer2018.10 | 63.9 | |
| SUM-MLP (GIN-ε)Aggregation=SUM, Architecture=MLP2018.10 | 63.7 | |
| SUM-1-LAYERAggregation=SUM, Architecture=1-layer2018.10 | 63.1 | |
| SF + RFCclassifier=Random Forest2018.10 | 62.8 | |
| SGE2018.10 | 60 | |
| PATCHYSAN2018.10 | 60 | |
| WL subtree2018.10 | 59.9 | |
| PM2018.10 | 59.4 | |
| DGCNN2018.10 | 58.6 | |
| EMD2018.10 | 57.7 | |
| DyF2018.10 | 56.2 | |
| FB2018.10 | 55.6 |