Spatio-temporal forecasting on AIR-GZ
0.251MAESTDN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| STDNTraining Loss=FreST Loss2026.02 | 0.251 | 0.185 | |
| STDNTraining Loss=MSE Loss2026.02 | 0.345 | 0.31 | |
| iTransformerTraining Loss=MSE Loss2026.02 | 0.378 | 0.301 | |
| STGCNTraining Loss=FreST Loss2026.02 | 0.379 | 0.307 | |
| iTransformerTraining Loss=FreST Loss2026.02 | 0.379 | 0.319 | |
| STGCNTraining Loss=MSE Loss2026.02 | 0.398 | 0.334 | |
| STIDTraining Loss=FreST Loss2026.02 | 0.41 | 0.34 | |
| StaeformerTraining Loss=FreST Loss2026.02 | 0.414 | 0.34 | |
| StaeformerTraining Loss=MSE Loss2026.02 | 0.416 | 0.343 | |
| STIDTraining Loss=MSE Loss2026.02 | 0.417 | 0.342 | |
| DLinearTraining Loss=FreST Loss2026.02 | 0.461 | 0.418 | |
| DLinearTraining Loss=MSE Loss2026.02 | 0.475 | 0.423 | |
| SparseTSFTraining Loss=FreST Loss2026.02 | 0.489 | 0.445 | |
| SparseTSFTraining Loss=MSE Loss2026.02 | 0.493 | 0.447 | |
| StemGNNTraining Loss=FreST Loss2026.02 | 0.616 | 0.658 | |
| StemGNNTraining Loss=MSE Loss2026.02 | 0.627 | 0.657 |