Node Classification on MUTAG
85.3AccuracyedGNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| edGNNaggregation=max2019.04 | 85.3 | — | — | — | |
| WL2019.04 | 80.9 | — | — | — | |
| edGNNvariant=reg2019.04 | 80.4 | — | — | — | |
| edGNNaggregation=avg2019.04 | 80 | — | — | — | |
| edGNNvariant=emb2019.04 | 77.2 | — | — | — | |
| R-GCN2019.04 | 73.2 | — | — | — | |
| RDF2Vec2019.04 | 67.2 | — | — | — | |
| R-GCN2023.11 | — | 73.2 | 65.7 | 72.1 | |
| R-GNN2023.11 | — | 76.5 | 63.3 | 73.2 | |
| R2-GNNGraph Transformation=false2023.11 | — | 85.3 | 62.1 | 79.5 | |
| R2-GNN ∘ FGraph Transformation=true2023.11 | — | 88.2 | 65.5 | 82.1 |