Node Classification 벤치마크
Node Classification on Chameleon (48%/32%/20% fixed splits)
Accuracy
- 2022-11-25 — GREAD-BS: Accuracy 67.98
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | GREAD-BS | 67.98 | GREAD: Graph Neural Reaction-Diffusion Networks | jeongwhanchoi/gread | 2022 |
| 2 | GNNMoE(GCN-like P) | 47.19±2.93 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | GISec-Team/GNNMoE | 2024 |
| 3 | GNNMoE(SAGE-like P) | 45.73±3.19 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | GISec-Team/GNNMoE | 2024 |
| 4 | GNNMoE(GAT-like P) | 45.56±3.94 | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | GISec-Team/GNNMoE | 2024 |