Node Classification On Minesweeper
评估指标
AUCROC
评测结果
各个模型在此基准测试上的表现结果
模型名称 | AUCROC | Paper Title | Repository |
|---|---|---|---|
| GAT | 97.73 ± 0.73 | Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | |
| GraphSAGE | 97.77 ± 0.62 | Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | |
| Polynormer | 97.46±0.36 | Polynormer: Polynomial-Expressive Graph Transformer in Linear Time | |
| GCN | 97.86 ± 0.24 | Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification |
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