Graph Classification On Reddit Binary
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
---|---|---|---|
GAP-Layer (Rcut) | 77.63 | DiffWire: Inductive Graph Rewiring via the Lovász Bound | - |
GAP-Layer (Ncut) | 76 | DiffWire: Inductive Graph Rewiring via the Lovász Bound | - |
DiffWire | 77.17 | DiffWire: Inductive Graph Rewiring via the Lovász Bound | - |
GIN + PANDA | 91.055 | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring | - |
R-GCN + PANDA | 80.2 | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring | - |
GCN + PANDA | 80.69 | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring | - |
CT-Layer | 78.45 | DiffWire: Inductive Graph Rewiring via the Lovász Bound | - |
R-GIN + PANDA | 91.36 | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring | - |
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