Spatial-temporal Time Series Forecasting on PEMS03
13.8MAESTD-MAE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| STD-MAE2023.12 | 13.8 | 13.96 | 24.43 | — | |
| STEP2023.12 | 14.22 | 14.42 | 24.55 | — | |
| PDFormer2023.12 | 14.94 | 15.82 | 25.39 | — | |
| SCINet2021.06 | 14.98 | 14.11 | 24.08 | 6.26 | |
| ASTGNN2023.12 | 15.07 | 15.8 | 26.88 | — | |
| ST-WA2023.12 | 15.17 | 15.83 | 26.63 | — | |
| STNorm2023.12 | 15.32 | 14.37 | 25.93 | — | |
| STAEformer2023.12 | 15.35 | 15.18 | 27.55 | — | |
| DSTAGNN2023.12 | 15.57 | 14.68 | 27.21 | — | |
| LSGCN2021.06 | 15.98 | 15.23 | 28.25 | — | |
| EnhanceNet2023.12 | 16.05 | 15.83 | 28.33 | — | |
| AGCRN2023.12 | 16.06 | 15.85 | 28.49 | — | |
| STGODE2023.12 | 16.5 | 16.69 | 27.84 | — | |
| Z-GCNETs2023.12 | 16.64 | 16.39 | 28.15 | — | |
| AGCRN2021.06 | 16.77 | 16.3 | 28.34 | — | |
| STFGNN2023.12 | 16.77 | 16.3 | 28.34 | — | |
| STFGNN2021.06 | 17.48 | 16.78 | 29.21 | — | |
| STSGCN2023.12 | 17.48 | 16.78 | 29.21 | — | |
| STGCN2021.06 | 17.49 | 17.15 | 30.12 | — | |
| STGCN2023.12 | 17.49 | 17.15 | 30.12 | — | |
| Transformer2023.12 | 17.5 | 16.8 | 30.24 | — | |
| ASTGCN(r)2021.06 | 17.69 | 19.4 | 29.66 | — | |
| ASTGCN2023.12 | 17.69 | 19.4 | 29.66 | — | |
| DCRNN2021.06 | 18.18 | 18.91 | 30.31 | — | |
| DCRNN2023.12 | 18.18 | 18.91 | 30.31 | — | |
| TCNre-implemented=true, variant=normal convolutions2021.06 | 18.87 | 18.63 | 32.24 | — | |
| TCN2023.12 | 19.31 | 19.86 | 33.24 | — | |
| TCNre-implemented=true2021.06 | 19.32 | 19.93 | 33.55 | — | |
| STSGCN2021.06 | 19.85 | 19.31 | 32.94 | — | |
| GWNet2023.12 | 19.85 | 19.31 | 32.94 | — | |
| LSTMre-implemented=true2021.06 | 21.33 | 21.33 | 35.11 | — | |
| LSTM2023.12 | 21.33 | 23.33 | 35.11 | — | |
| SVR2023.12 | 21.97 | 21.51 | 35.29 | — | |
| VAR2023.12 | 23.65 | 24.51 | 38.26 | — | |
| ARIMA2023.12 | 35.31 | 33.78 | 47.59 | — |