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Link Prediction On Movielens 1M
Métriques
AUPR
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| Hyper-SAGNN-W | 0.81 | Hyper-SAGNN: a self-attention based graph neural network for hypergraphs |
| Hyper-SAGNN-E | 0.7929999999999999 | Hyper-SAGNN: a self-attention based graph neural network for hypergraphs |
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