Air pollution forecasting on Nanjing National
0.84MAESTeP-Diff
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| STeP-Diff2025.12 | 0.84 | 3.25 | 0.41 | |
| CSDI2025.12 | 2.5 | 7.44 | 0.33 | |
| GinAR2025.12 | 7.7 | 10.16 | 0.77 | |
| DiffusionPDE2025.12 | 7.78 | 9.43 | 0.5 | |
| AirFormer2025.12 | 7.88 | 9.71 | 0.46 | |
| Air-DualODE2025.12 | 9.73 | 11.38 | 0.44 | |
| Phy-AMPR2025.12 | 9.84 | 11.87 | 0.53 | |
| PINN-Diffusion2025.12 | 10.22 | 11.61 | 0.37 | |
| AirPhyNet2025.12 | 10.23 | 12.11 | 0.42 | |
| STPP2025.12 | 11.63 | 15.81 | 0.69 | |
| DeepONet2025.12 | 11.97 | 14.51 | 0.77 | |
| HMSS2025.12 | 11.97 | 14.51 | 0.71 | |
| NeuralODE2025.12 | 21.09 | 23.42 | 0.9 | |
| PDE2025.12 | 21.53 | 25.91 | 0.83 | |
| STGNN2025.12 | 23.78 | 24.46 | 0.89 | |
| DDPM2025.12 | 25.27 | 27.01 | 0.96 | |
| UniST2025.12 | 43.45 | 44.34 | 1.74 |