Graph Classification On Re M12K
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| deep-graph-kernels | 32.22% |
| graph-classification-with-2d-convolutional | 48.13% |
| wasserstein-embedding-for-graph-learning | 47.8% |
| dissecting-graph-neural-networks-on-graph | 49.75% |
| capsule-graph-neural-network | 46.62% |
| dissecting-graph-neural-networks-on-graph | 49.43% |