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SotA/Graphs/Node Classification/Wisconsin

Node Classification on Wisconsin

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1MGNN + Hetero-S (6 layers)88.77NoThe Heterophilic Snowflake Hypothesis: Training ...2024-06-18Code
2FDGATII86.2745NoFDGATII : Fast Dynamic Graph Attention with Init...2021-10-21Code
3CT-Layer79.05NoDiffWire: Inductive Graph Rewiring via the Lovás...2022-06-15Code
4CT-Layer (PE)69.25NoDiffWire: Inductive Graph Rewiring via the Lovás...2022-06-15Code
5Geom-GCN-P64.12NoGeom-GCN: Geometric Graph Convolutional Networks2020-02-13Code
6Geom-GCN-I58.24NoGeom-GCN: Geometric Graph Convolutional Networks2020-02-13Code
7Geom-GCN-S56.67NoGeom-GCN: Geometric Graph Convolutional Networks2020-02-13Code