Graph Classification On Mutagenicity
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| hierarchical-graph-pooling-with-structure | 82.15 |
| graph-trees-with-attention | 83 |
| hierarchical-representation-learning-in-graph | 78.1 |
| pre-training-graph-neural-networks-on | 81.12±0.90 |
| maximum-entropy-weighted-independent-set | 80.66 |