Document Classification On Cora
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Planetoid* | 75.7% | Revisiting Semi-Supervised Learning with Graph Embeddings | |
| DeepWalk | 67.2% | DeepWalk: Online Learning of Social Representations | |
| LGCN | 83.3% | Large-Scale Learnable Graph Convolutional Networks | |
| ACNet | 83.5% | Adaptively Connected Neural Networks | |
| MoNet | 81.7% | Geometric deep learning on graphs and manifolds using mixture model CNNs | |
| GAT | 83.0% | Graph Attention Networks |
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