Air Quality Forecasting on Beijing 3-day forecast
39.16MAENeuroDDAF
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NeuroDDAFEncoder=GRU-GAT2026.04 | 39.16 | 48.88 | |
| NeuroDDAFEncoder=GRU2026.04 | 39.98 | 50.44 | |
| NeuroDDAFEncoder=LSTM2026.04 | 40.43 | 51.06 | |
| AirPhyNet2026.04 | 43.21 | 54.11 | |
| AirFormer2026.04 | 43.39 | 58.68 | |
| STGCN2026.04 | 43.93 | 56.57 | |
| NeuroDDAFEncoder=Transformer2026.04 | 44.83 | 55.7 | |
| NeuroDDAFEncoder=TCN2026.04 | 45.05 | 55.78 | |
| LatentODE2026.04 | 47.14 | 57.39 | |
| NeuroDDAFEncoder=GPT22026.04 | 50.05 | 61.16 | |
| HA2026.04 | 50.58 | 101.51 | |
| GMAN2026.04 | 50.69 | 65.87 | |
| ODE-LSTM2026.04 | 51.45 | 63.66 | |
| PM25GNN2026.04 | 51.51 | 66.55 | |
| DCRNN2026.04 | 57.01 | 74.67 | |
| VAR2026.04 | 60.64 | 103.07 | |
| GTS2026.04 | 73.5 | 89.59 |