Paper | Code | Accuracy (%) | ModelName | ReleaseDate |
---|---|---|---|---|
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | ✓ Link | 55.54 ± 0.51 | GAT | 2024-06-13 |
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | ✓ Link | 55.40 ± 0.21 | GraphSAGE | 2024-06-13 |
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time | ✓ Link | 54.81 ± 0.49 | Polynormer | 2024-03-02 |
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | ✓ Link | 53.80 ± 0.60 | GCN | 2024-06-13 |