Paper | Code | Average Top-1 Accuracy | ModelName | ReleaseDate |
---|---|---|---|---|
Improving the Effective Receptive Field of Message-Passing Neural Networks | ✓ Link | 58.9 ± 0.1 | IM-GCN | 2025-05-29 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 49.4 ± 0.4 | ChebNet | 2025-03-12 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 48.2 ± 0.8 | GraphSAGE | 2025-03-12 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 45.7 ± 0.3 | SGFormer | 2025-03-12 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 43.8 ± 0.3 | GCN | 2025-03-12 |