Air pollution forecasting on Nanjing Mobile
0.95MAESTeP-Diff
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| STeP-Diff2025.12 | 0.95 | 2.94 | 0.15 | |
| CSDI2025.12 | 3.34 | 8.8 | 0.56 | |
| Air-DualODE2025.12 | 8.83 | 14.16 | 0.74 | |
| STPP2025.12 | 8.87 | 15.62 | 0.69 | |
| AirPhyNet2025.12 | 9.39 | 14.86 | 0.79 | |
| STGNN2025.12 | 9.97 | 17.49 | 0.43 | |
| AirFormer2025.12 | 10.01 | 16.93 | 0.52 | |
| DiffusionPDE2025.12 | 10.2 | 15.97 | 0.54 | |
| Phy-AMPR2025.12 | 13.02 | 19.78 | 0.61 | |
| PINN-Diffusion2025.12 | 14.59 | 10.88 | 0.58 | |
| DeepONet2025.12 | 15.69 | 24.27 | 0.52 | |
| HMSS2025.12 | 15.69 | 24.27 | 0.52 | |
| PDE2025.12 | 16.42 | 25.51 | 0.77 | |
| NeuralODE2025.12 | 19.15 | 26.91 | 0.92 | |
| GinAR2025.12 | 21.53 | 29.58 | 1.77 | |
| UniST2025.12 | 25.13 | 33.22 | 0.59 | |
| DDPM2025.12 | 27.94 | 34.7 | 0.97 |