Node Classification On Squirrel 48 32 20
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GREAD-BS | 51.01 | GREAD: Graph Neural Reaction-Diffusion Networks | |
| GNNMoE(GAT-like P) | 39.19±3.94 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | |
| GNNMoE(GCN-like P) | 44.02±2.59 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | |
| GNNMoE(SAGE-like P) | 39.19±2.84 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification |
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