| Paper | Code | 12 steps MAE | 12 steps MAPE | 12 steps RMSE | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting | ✓ Link | 13.80 | 13.96 | 24.43 | STD-MAE | 2023-12-01 |
| PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction | ✓ Link | 14.62 | 14.88 | 25.47 | PDG2Seq | 2024-12-05 |
| A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting | ✓ Link | 14.63 | 14.22 | 25.07 | DDGCRN | 2023-05-01 |
| When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks | ✓ Link | 14.93 | STWave | 2023-07-26 | ||
| Graph Neural Rough Differential Equations for Traffic Forecasting | ✓ Link | 15.50 | 14.9 | 27.06 | STG-NRDE | 2023-03-20 |
| Graph Neural Controlled Differential Equations for Traffic Forecasting | ✓ Link | 15.57 | 15.06 | 27.09 | STG-NCDE | 2021-12-07 |