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Node Classification On Coauthor Phy
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| GCN-LPA | 96.9 ± 0.2 | Unifying Graph Convolutional Neural Networks and Label Propagation |
| Graph InfoClust (GIC) | 93.1 ± 0.7 | Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning |
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