Paper | Code | Average Top-1 Accuracy | ModelName | ReleaseDate |
---|---|---|---|---|
Improving the Effective Receptive Field of Message-Passing Neural Networks | ✓ Link | 55.3 ± 0.3 | IM-GCN | 2025-05-29 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 49.5 ± 0.4 | ChebNet | 2025-03-12 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 49.1 ± 0.6 | GraphSAGE | 2025-03-12 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 47.3 ± 0.2 | GCN | 2025-03-12 |
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement | ✓ Link | 45.0 ± 0.2 | SGFormer | 2025-03-12 |