Node Classification On Cora Fixed 20 Node Per
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
比较表格
| 模型名称 | Accuracy |
|---|---|
| scale-invariance-of-graph-neural-networks | 82.3±1.1 |
| graphmae-self-supervised-masked-graph | 84.2 |
| graph-infoclust-leveraging-cluster-level-node | 81.7 ± 1.5 |
| bridging-the-gap-between-spectral-and-spatial | 84.2 |
| every-node-counts-self-ensembling-graph | 83.5 ± 0.4 |
| simple-spectral-graph-convolution | 83.0 |
| learning-discrete-structures-for-graph-neural | 84.1 |
| graph-trees-with-attention | 83.5 |
| graph-representation-learning-beyond-node-and | - |