Node Classification On Wiki Cs
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| HH-GraphSAGE | 82.81 | Half-Hop: A graph upsampling approach for slowing down message passing | - |
| GCN | 81.93 | Half-Hop: A graph upsampling approach for slowing down message passing | - |
| HH-GCN | 82.57 | Half-Hop: A graph upsampling approach for slowing down message passing | - |
| CGT | 84.61±0.53 | Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures | - |
| GraphSAGE | 83.67 | Half-Hop: A graph upsampling approach for slowing down message passing | - |
| ScaleNet | 79.3±0.6 | Scale Invariance of Graph Neural Networks | - |
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