Graph Classification on RE-M5k
57.59AccuracyGFN
Evaluation Results
| Method | Links | |
|---|---|---|
| GFN2019.05 | 57.59 | |
| SUM-MLP (GIN-0)Aggregation=SUM, Architecture=MLP2018.10 | 57.5 | |
| GIN2019.05 | 57.5 | |
| GIN2019.07 | 57.5 | |
| GAT-GCvariant=f-Scaled2019.07 | 57.22 | |
| GFN-light2019.05 | 57.11 | |
| SUM-MLP (GIN-ε)Aggregation=SUM, Architecture=MLP2018.10 | 57 | |
| GCN2019.05 | 56.81 | |
| RetGK_I2019.05 | 56.1 | |
| RetGK_II2019.05 | 55.3 | |
| SUM-1-LAYERAggregation=SUM, Architecture=1-layer2018.10 | 55.1 | |
| AWEAlgorithm Grouping=FB2018.05 | 54.74 | |
| GLN2019.05 | 52.97 | |
| CapsGNN2019.05 | 52.88 | |
| CapsGNN2019.07 | 52.88 | |
| WL subtree2018.10 | 52.5 | |
| SAEN2018.11 | 52.24 | |
| GIC2018.11 | 51.58 | |
| FB2018.11 | 50.83 | |
| AWEAlgorithm Grouping=DD2018.05 | 50.46 | |
| AWE2019.05 | 50.46 | |
| DYF2018.11 | 50.31 | |
| WLAlgorithm Grouping=FB2018.05 | 49.44 | |
| WL2019.05 | 49.44 | |
| WL2019.07 | 49.44 | |
| PSCNk=102016.05 | 49.1 | |
| PSCNAlgorithm Grouping=DD2018.05 | 49.1 | |
| PSCN2018.11 | 49.1 | |
| PATCHYSAN2018.10 | 49.1 | |
| PSCN2019.05 | 49.1 | |
| PSCN2019.07 | 49.1 | |
| DGCNN2019.05 | 48.7 | |
| DGCNN2019.07 | 48.7 | |
| DGK2016.05 | 41.27 | |
| DGKAlgorithm Grouping=DD2018.05 | 41.27 | |
| DGK2018.11 | 41.27 | |
| DGK2019.05 | 41.27 | |
| GK2016.05 | 41.01 | |
| GKAlgorithm Grouping=FB2018.05 | 41.01 | |
| GK2018.11 | 41.01 | |
| MEAN-MLPAggregation=MEAN, Architecture=MLP2018.10 | 20 | |
| MEAN-1-LAYER (GCN)Aggregation=MEAN, Architecture=1-layer2018.10 | 20 |