| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| PEMS08 (test) | GWN* | MAPE9.07 | 96 | 3mo ago | |
| UrbanEV (test) | ST-Prune | MAPE29.05 | 73 | 3mo ago | |
| Molene weather dataset (France) | STDN | MAE0.352 | 50 | 1mo ago | |
| TaxiBJ | WaveSFNet | MSE0.287 | 45 | 2mo ago | |
| Wikipedia Math | MP-SSM | MSE0.509 | 44 | 7d ago | |
| PedalMe London | MP-SSM | MSE0.647 | 44 | 7d ago | |
| Chickenpox Hungary | MP-SSM | MSE0.748 | 44 | 7d ago | |
| NYC Taxi (test) | MTGNN | MAE4.9 | 41 | 3mo ago | |
| GBA | Relative MAE0.207 | 37 | 2mo ago | ||
| GLA | Relative MAE0.182 | 36 | 2mo ago | ||
| CAMS | Relative MAE0.5 | 34 | 2mo ago | ||
| ERA5 | Relative MAE0.368 | 34 | 2mo ago | ||
| CA | Relative MAE0.12 | 32 | 2mo ago | ||
| PEMS-BAY (20% test) | GWavenet + RRN | MAE1.28 | 30 | 1mo ago | |
| METR-LA (20% test) | GWavenet + RRN | MAE2.73 | 30 | 1mo ago | |
| SDWPF (20% test) | GWavenet + RRN | MAE54.2 | 30 | 1mo ago | |
| NYC Citi Bike (test) | MTGNN | MAE1.78 | 29 | 3mo ago | |
| Covid | TI-ODE | MSE2.06 | 24 | 1mo ago | |
| Motion | TI-ODE | MSE0.16 | 24 | 1mo ago | |
| PeMS07 60 min 12-step | Teger | CRPSsum0.0891 | 17 | 15d ago | |
| Brussels 60 min 12-step | Teger | CRPSsum0.0619 | 16 | 15d ago | |
| Brussels 30 min 6-step | Teger | CRPSsum0.0611 | 16 | 15d ago | |
| Brussels 15 min 3-step | Teger | CRPSsum0.0591 | 16 | 15d ago | |
| PeMS07 30 min 6-step | Teger | CRPSsum0.0878 | 16 | 15d ago | |
| PeMS07 15 min 3-step | Teger | CRPSsum0.0864 | 16 | 15d ago |
