Dynamic Link Prediction On Dblp Temporal
Métriques
AP
AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AP | AUC |
|---|---|---|
| euler-detecting-network-lateral-movement-via | 89.03 | 86.54 |
| evolvegcn-evolving-graph-convolutional | 83.87 | 80.80 |
| evolvegcn-evolving-graph-convolutional | 81.43 | 78.63 |
| variational-graph-recurrent-neural-networks | 87.77 | 85.95 |
| variational-graph-recurrent-neural-networks | 88.36 | 85.45 |
| contrastive-representation-learning-for-3 | 90.45 | 88.25 |
| dyngraph2vec-capturing-network-dynamics-using | 81.84 | 76.06 |