| Paper | Code | MAE @ in | MAE @ out | MAPE (%) @ in | MAPE (%) @ out | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction | ✓ Link | 11.31 | 11.4 | 15.03 | 15.19 | ST-SSL | 2022-12-07 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | ✓ Link | 12.30 | 12.38 | 15.61 | 15.75 | AGCRN | 2020-07-06 |
| Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting | ✓ Link | 12.72 | 12.79 | 17.22 | 17.35 | STSGCN | 2020-04-03 |
| Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting | ✓ Link | 13.83 | 13.89 | 19.29 | 19.41 | STFGNN | 2020-12-15 |
| Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach | ✓ Link | 14.64 | SimVP+SVQ (Learnable) | 2023-12-06 |