Air Quality Forecasting on Global air quality dataset
11.28MAEOmniAir
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| OmniAirVariant=Full2026.01 | 11.28 | 20.41 | 33.69 | |
| OmniAirMem=32.50, Train=30.7, Infer=6.9, BS=642026.01 | 11.28 | — | — | |
| OmniAirVariant=w/o Ext. Feat.2026.01 | 11.56 | 20.89 | 34.42 | |
| OmniAirVariant=w/o Sem. Graph2026.01 | 11.82 | 21.35 | 35.18 | |
| STID2026.01 | 11.93 | 21.56 | 35.82 | |
| OmniAirVariant=w/o Adap. Sparse2026.01 | 11.98 | 21.67 | 35.72 | |
| OmniAirVariant=w/o ISIE2026.01 | 12.18 | 22.05 | 36.25 | |
| Informer2026.01 | 12.33 | 22.06 | 35.5 | |
| Airformer2026.01 | 12.52 | 23.36 | 36.62 | |
| AirFormerMem=43.22↑33%, Train=347.5↑1032%, Infer=62.0↑799%, BS=16↑75%2026.01 | 12.52 | — | — | |
| LightTS2026.01 | 12.57 | 27.58 | 40.65 | |
| OmniAirVariant=w/o Dyn. Graph2026.01 | 12.58 | 22.78 | 37.52 | |
| AirDualODE2026.01 | 12.78 | 27.32 | 37.11 | |
| GAGNN2026.01 | 12.81 | 27.17 | 38.44 | |
| GWNet2026.01 | 12.89 | 26.48 | 39.67 | |
| GWNetMem=36.43↑12%, Train=521.3↑1598%, Infer=98.4↑1326%, BS=5↑92%2026.01 | 12.89 | — | — | |
| PM2.5GNN2026.01 | 12.9 | 27.23 | 38.54 | |
| PM2.5GNNMem=47.24↑45%, Train=195.8↑538%, Infer=47.3↑586%, BS=18↑72%2026.01 | 12.9 | — | — | |
| AirPhyNet2026.01 | 12.97 | 27.31 | 39.05 | |
| MTGNN2026.01 | 13.12 | 26.88 | 37.63 | |
| CauAir2026.01 | 13.22 | 24.38 | 36.86 | |
| Autoformer2026.01 | 13.39 | 22.61 | 37.6 | |
| StemGNN2026.01 | 13.6 | 27.15 | 41.94 | |
| StemGNNMem=43.22↑33%, Train=1343.4↑4276%, Infer=285.7↑4041%, BS=8↑88%2026.01 | 13.6 | — | — | |
| LV2026.01 | 14.18 | 25.22 | 42.98 | |
| VAR2026.01 | 14.29 | 21.2 | 49.88 | |
| STGCN2026.01 | 14.59 | 28.47 | 47.27 | |
| STGCNMem=38.35↑18%, Train=363.0↑1082%, Infer=68.2↑888%, BS=16↑75%2026.01 | 14.59 | — | — | |
| GM2026.01 | 23.06 | 45.16 | 83.67 |