Node Classification On Minesweeper
평가 지표
AUCROC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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