| Paper | Code | 12 steps MAE | 12 steps MAPE | 12 steps RMSE | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting | ✓ Link | 2.52 | 6.35 | 5.20 | STD-MAE | 2023-12-01 |
| A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting | ✓ Link | 2.59 | 6.48 | 5.21 | DDGCRN | 2023-05-01 |
| Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction | ✓ Link | 2.60 | 6.57 | 5.36 | PM-DMNet(R) | 2024-08-12 |
| Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction | ✓ Link | 2.61 | 6.55 | 5.33 | PM-DMNet(P) | 2024-08-12 |
| Graph Neural Rough Differential Equations for Traffic Forecasting | ✓ Link | 2.66 | 6.68 | 5.31 | STG-NRDE | 2023-03-20 |
| Graph Neural Controlled Differential Equations for Traffic Forecasting | ✓ Link | 2.68 | 6.76 | 5.39 | STG-NCDE | 2021-12-07 |
| Spatio-Temporal Graph Mixformer for Traffic Forecasting | ✓ Link | 3.002 | 8.01 | 6.331 | STGM | 2023-10-15 |