Node Classification on MUTAG (test)
88.2AccuracyR2-GNN ◦ F
Evaluation Results
| Method | Links | |
|---|---|---|
| R2-GNN ◦ Fglobal readout=true, graph transformation=true2023.11 | 88.2 | |
| COMPGCN2019.11 | 85.3 | |
| R2-GNNglobal readout=true2023.11 | 85.3 | |
| WL2019.11 | 80.9 | |
| RR-GCN-PPVPPV features=true, number of layers=2, embedding size=10242022.03 | 79.41 | |
| Feat2019.11 | 77.9 | |
| WGCN2019.11 | 77.9 | |
| R-GNN2023.11 | 76.5 | |
| SynGCN2019.11 | 74.8 | |
| R-GAT2023.11 | 74.4 | |
| R-GCN2019.11 | 73.2 | |
| R-GCN2023.11 | 73.2 | |
| R-GCN2022.03 | 72.5 | |
| RR-GCNPPV features=false, number of layers=2, embedding size=10242022.03 | 70 | |
| RDF2Vec2019.11 | 67.2 |