Node Classification 벤치마크
Node Classification on Log Angeles
Average Top-1 Accuracy
- 2025-03-12 — ChebNet: Average Top-1 Accuracy 54.1
- 2025-05-29 — IM-GCN: Average Top-1 Accuracy 62.4
| Rank | Model | Average Top-1 Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | IM-GCN | 62.4 ± 0.3 | Improving the Effective Receptive Field of Message-Passing Neural Networks | bgu-cs-vil/im-mpnn | 2025 |
| 2 | ChebNet | 54.1 ± 0.2 | Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | leonresearch/city-networks | 2025 |
| 3 | GraphSAGE | 53.3 ± 0.7 | Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | leonresearch/city-networks | 2025 |
| 4 | SGFormer | 47.2 ± 0.5 | Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | leonresearch/city-networks | 2025 |
| 5 | GCN | 45.9 ± 1.0 | Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | leonresearch/city-networks | 2025 |