Spatio-Temporal Forecasting on Beijing N=35, C=6 (test)
15.29MAEDouble-Diffusion
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Double-DiffusionModel Type=Probabilistic2025.06 | 15.29 | 42.85 | 12.49 | |
| CSDIModel Type=Probabilistic2025.06 | 15.84 | 45.16 | 13.34 | |
| GMANModel Type=Deterministic2025.06 | 17.73 | 46.33 | — | |
| STGCNModel Type=Deterministic2025.06 | 17.81 | 45.32 | — | |
| DLinearModel Type=Deterministic2025.06 | 18.58 | 47.03 | — | |
| GMSDRModel Type=Deterministic2025.06 | 18.75 | 46.55 | — | |
| DeepARModel Type=Probabilistic2025.06 | 20.59 | 53.95 | 17.89 | |
| DiffSTGModel Type=Probabilistic2025.06 | 21 | 112.2 | 17.1 | |
| MC DropoutModel Type=Probabilistic2025.06 | 21.37 | 50.66 | 19.06 |