Air quality forecasting on Beijing 2-day forecast
35.42MAENeuroDDAF
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NeuroDDAFEncoder=GRU-GAT2026.04 | 35.42 | 46.35 | |
| NeuroDDAFEncoder=GRU2026.04 | 36.72 | 48.06 | |
| NeuroDDAFEncoder=LSTM2026.04 | 37.24 | 48.8 | |
| AirPhyNet2026.04 | 37.26 | 49.25 | |
| AirFormer2026.04 | 38.43 | 56.52 | |
| STGCN2026.04 | 38.93 | 54.98 | |
| NeuroDDAFEncoder=Transformer2026.04 | 43.59 | 56.25 | |
| NeuroDDAFEncoder=TCN2026.04 | 43.88 | 56.53 | |
| LatentODE2026.04 | 45.95 | 55.44 | |
| PM25GNN2026.04 | 48.81 | 65.64 | |
| ODE-LSTM2026.04 | 49.18 | 62.39 | |
| NeuroDDAFEncoder=GPT22026.04 | 49.65 | 62.37 | |
| DCRNN2026.04 | 49.66 | 67.5 | |
| GMAN2026.04 | 50.73 | 66.07 | |
| GTS2026.04 | 54.18 | 71.87 | |
| VAR2026.04 | 60.44 | 103.02 | |
| HA2026.04 | 83.91 | 95.56 |