| Learning Long Range Dependencies on Graphs via Random Walks | ✓ Link | 0.4398 ± 0.0033 | NeuralWalker | 2024-06-05 |
| Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark | ✓ Link | 0.3884±0.0055 | GPS-tuned | 2023-09-01 |
| Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence | ✓ Link | 0.3802 ± 0.0015 | GatedGCN+ | 2025-02-13 |
| Next Level Message-Passing with Hierarchical Support Graphs | ✓ Link | 0.3535±0.0032 | GatedGCN-HSG | 2024-06-22 |
| Improving the Effective Receptive Field of Message-Passing Neural Networks | ✓ Link | 0.3501 ± 0.0061 | IM-GatedGCN | 2025-05-29 |
| Exphormer: Sparse Transformers for Graphs | ✓ Link | 0.343±0.0008 | Exphormer | 2023-03-10 |
| Recipe for a General, Powerful, Scalable Graph Transformer | ✓ Link | 0.3412±0.0044 | GPS | 2022-05-25 |
| Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark | ✓ Link | 0.2922±0.0018 | GatedGCN-tuned | 2023-09-01 |
| Long Range Graph Benchmark | ✓ Link | 0.2641±0.0045 | GatedGCN | 2022-06-16 |
| Long Range Graph Benchmark | ✓ Link | 0.2618±0.0031 | Transformer+LapPE | 2022-06-16 |
| Long Range Graph Benchmark | ✓ Link | 0.2592±0.0158 | SAN+LapPE | 2022-06-16 |
| Long Range Graph Benchmark | ✓ Link | 0.2574±0.0034 | GatedGCN+LapPE | 2022-06-16 |
| Long Range Graph Benchmark | ✓ Link | 0.2434±0.0156 | SAN+RWSE | 2022-06-16 |
| Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark | ✓ Link | 0.2125±0.0009 | GINE-tuned | 2023-09-01 |
| Improving the Effective Receptive Field of Message-Passing Neural Networks | ✓ Link | 0.1960 ± 0.0023 | IM-GCN | 2025-05-29 |
| Simple and Deep Graph Convolutional Networks | ✓ Link | 0.1404±0.0011 | GCNII | 2020-07-04 |
| Long Range Graph Benchmark | ✓ Link | 0.1339±0.0044 | GINE | 2022-06-16 |
| Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark | ✓ Link | 0.1338±0.0007 | GCN-tuned | 2023-09-01 |
| Long Range Graph Benchmark | ✓ Link | 0.0841±0.0010 | GCN | 2022-06-16 |