Graph Regression On Zinc 100K
Metriken
MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | MAE |
|---|---|
| benchmarking-graph-neural-networks | 0.363 |
| neural-message-passing-for-quantum-chemistry | 0.288 |
| geometric-deep-learning-on-graphs-and | 0.407 |
| weisfeiler-and-lehman-go-cellular-cw-networks | 0.094 |
| edge-augmented-graph-transformers-global-self | 0.143 |
| graph-attention-networks | 0.463 |
| automatic-relation-aware-graph-network | 0.136 |
| improving-graph-neural-network-expressivity | 0.115 |