Node Classification On Nell
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GraphVAT | 64.7% | Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure | |
| GCN | 66.0 | Semi-Supervised Classification with Graph Convolutional Networks | |
| DFNet-ATT | 68.8 ± 0.3 | DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters | |
| Planetoid* | 61.9% | Revisiting Semi-Supervised Learning with Graph Embeddings |
0 of 4 row(s) selected.