Link Prediction On Yelp
Métriques
HR@10
nDCG@10
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | HR@10 | nDCG@10 |
|---|---|---|
| kgat-knowledge-graph-attention-network-for | 0.8762 | 0.6136 |
| 180503352 | 0.8729 | 0.5826 |
| 190412575 | 0.8125 | 0.4668 |
| metapath-and-entity-aware-graph-neural | 0.9128 | 0.6641 |
| learning-topological-representation-for | - | - |
| neural-collaborative-filtering-vs-matrix | 0.8068 | 0.481 |
| representation-learning-for-heterogeneous | - | - |
| neural-factorization-machines-for-sparse | 0.8595 | 0.6062 |
| metapath2vec-scalable-representation-learning | 0.6307 | 0.402 |