Spatio-temporal forecasting on AIR-BJ
0.207MAESTDN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| STDNTraining Loss=FreST Loss2026.02 | 0.207 | 0.105 | |
| STDNTraining Loss=MSE Loss2026.02 | 0.233 | 0.13 | |
| STGCNTraining Loss=FreST Loss2026.02 | 0.239 | 0.122 | |
| iTransformerTraining Loss=FreST Loss2026.02 | 0.243 | 0.125 | |
| StaeformerTraining Loss=MSE Loss2026.02 | 0.247 | 0.125 | |
| StaeformerTraining Loss=FreST Loss2026.02 | 0.247 | 0.123 | |
| STGCNTraining Loss=MSE Loss2026.02 | 0.254 | 0.129 | |
| STIDTraining Loss=FreST Loss2026.02 | 0.255 | 0.124 | |
| DLinearTraining Loss=FreST Loss2026.02 | 0.256 | 0.127 | |
| iTransformerTraining Loss=MSE Loss2026.02 | 0.262 | 0.134 | |
| STIDTraining Loss=MSE Loss2026.02 | 0.265 | 0.127 | |
| SparseTSFTraining Loss=FreST Loss2026.02 | 0.269 | 0.136 | |
| DLinearTraining Loss=MSE Loss2026.02 | 0.271 | 0.133 | |
| SparseTSFTraining Loss=MSE Loss2026.02 | 0.275 | 0.137 | |
| StemGNNTraining Loss=FreST Loss2026.02 | 0.381 | 0.218 | |
| StemGNNTraining Loss=MSE Loss2026.02 | 0.414 | 0.245 |