Spatio-temporal forecasting on SH-METRO
63.655MAESTGCN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| STGCNTraining Loss=FreST Loss2026.02 | 63.655 | 181.125 | |
| STGCNTraining Loss=MSE Loss2026.02 | 64.032 | 180.463 | |
| iTransformerTraining Loss=FreST Loss2026.02 | 66.596 | 160.29 | |
| iTransformerTraining Loss=MSE Loss2026.02 | 71.802 | 176.744 | |
| StemGNNTraining Loss=FreST Loss2026.02 | 71.887 | 154.875 | |
| StaeformerTraining Loss=FreST Loss2026.02 | 76.607 | 180.948 | |
| STDNTraining Loss=FreST Loss2026.02 | 78.689 | 206.341 | |
| STIDTraining Loss=FreST Loss2026.02 | 81.525 | 187.214 | |
| StaeformerTraining Loss=MSE Loss2026.02 | 81.983 | 221.982 | |
| STDNTraining Loss=MSE Loss2026.02 | 83.849 | 217.015 | |
| StemGNNTraining Loss=MSE Loss2026.02 | 87.506 | 187.705 | |
| STIDTraining Loss=MSE Loss2026.02 | 91.636 | 230.135 | |
| DLinearTraining Loss=FreST Loss2026.02 | 106.233 | 236.295 | |
| DLinearTraining Loss=MSE Loss2026.02 | 107.042 | 236.239 | |
| SparseTSFTraining Loss=MSE Loss2026.02 | 146.734 | 308.735 | |
| SparseTSFTraining Loss=FreST Loss2026.02 | 147.007 | 308.009 |