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Node Classification On Cornell 48 32 20 Fixed
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| GREAD-AC | 87.03 | GREAD: Graph Neural Reaction-Diffusion Networks |
| GREAD-BS | 86.22 | GREAD: Graph Neural Reaction-Diffusion Networks |
| GREAD-F | 85.41 | GREAD: Graph Neural Reaction-Diffusion Networks |
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