Node Classification On Amazon Ratings
Métriques
Accuracy (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| GCN | 53.80 ± 0.60 | Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | |
| Polynormer | 54.81 ± 0.49 | Polynormer: Polynomial-Expressive Graph Transformer in Linear Time | |
| GraphSAGE | 55.40 ± 0.21 | Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | |
| GAT | 55.54 ± 0.51 | Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification |
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