Urban Time Series Prediction on Beijing (test)
6.72RMSEMemDA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MemDA2023.09 | 6.72 | 3.192 | 9.913 | |
| GW-Net2023.09 | 7.754 | 3.564 | 11.916 | |
| DCRNN2023.09 | 8.28 | 3.811 | 13.838 | |
| StemGNN2023.09 | 8.575 | 4.294 | 15.605 | |
| AGCRN2023.09 | 8.715 | 4.238 | 14.376 | |
| ASTGCN2023.09 | 9.156 | 4.25 | 17.13 | |
| ARIMA2023.09 | 9.184 | 4.64 | 16.4 | |
| STTN2023.09 | 9.886 | 4.748 | 17.15 | |
| STGCN2023.09 | 10.284 | 5 | 15.284 | |
| MTGNN2023.09 | 10.976 | 5.12 | 19.928 | |
| CLD2023.09 | 11.028 | 5.225 | 15.029 | |
| GMAN2023.09 | 11.555 | 6.448 | 21.941 | |
| EAST-Net2023.09 | 11.671 | 5.97 | 21.119 |