Graph Classification On Frankenstein
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| graph-invariant-kernels | 78.9 |
| asap-adaptive-structure-aware-pooling-for | 66.26 |
| self-attention-graph-pooling | 62.57 |
| maximum-entropy-weighted-independent-set | 73.46 |
| self-attention-graph-pooling | 61.73 |