Document Classification On Cora
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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 | - |
0 of 6 row(s) selected.