Node Classification On Tolokers
Métriques
AUCROC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AUCROC | Paper Title | Repository |
|---|---|---|---|
| GNNMoE(SAGE-like P) | 83.96±0.75 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | - |
| GNNMoE(GAT-like P) | 85.45±0.94 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | - |
| GNNMoE(GCN-like P) | 84.77±0.93 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | - |
| Polynormer | 85.91±0.74 | Polynormer: Polynomial-Expressive Graph Transformer in Linear Time | - |
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