Node Classification On Nell
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| DFNet-ATT | 68.8 ± 0.3 | DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters |
| GCN | 66.0 | Semi-Supervised Classification with Graph Convolutional Networks |
| GraphVAT | 64.7% | Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure |
| Planetoid* | 61.9% | Revisiting Semi-Supervised Learning with Graph Embeddings |
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