Node Classification On Chameleon 48 32 20
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GREAD-BS | 67.98 | GREAD: Graph Neural Reaction-Diffusion Networks | |
| GNNMoE(GAT-like P) | 45.56±3.94 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | |
| GNNMoE(GCN-like P) | 47.19±2.93 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | |
| GNNMoE(SAGE-like P) | 45.73±3.19 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification |
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