Graph Regression On Pcqm4M Lsc
Metriken
Test MAE
Validation MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Test MAE | Validation MAE |
|---|---|---|
| ogb-lsc-a-large-scale-challenge-for-machine | 20.68 | 0.2044 |
| transformers-generalize-deepsets-and-can-be | - | 0.1263 |
| edge-augmented-graph-transformers-global-self | - | 0.1224 |
| ogb-lsc-a-large-scale-challenge-for-machine | 15.79 | 0.1536 |
| ogb-lsc-a-large-scale-challenge-for-machine | 18.38 | 0.1684 |
| do-transformers-really-perform-bad-for-graph | 13.28 | 0.1234 |
| graph-propagation-transformer-for-graph | - | 0.1151 |
| o-gnn-incorporating-ring-priors-into | - | 0.1148 |
| graph-convolutions-enrich-the-self-attention | - | 0.1193 |
| ogb-lsc-a-large-scale-challenge-for-machine | 14.87 | 0.1396 |
| ogb-lsc-a-large-scale-challenge-for-machine | 16.78 | - |