Node Classification On Nell
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| graph-adversarial-training-dynamically | 64.7% |
| semi-supervised-classification-with-graph | 66.0 |
| dfnets-spectral-cnns-for-graphs-with-feedback | 68.8 ± 0.3 |
| revisiting-semi-supervised-learning-with | 61.9% |