Spatio-temporal Prediction on NYCBike2
4.845MAEDRAN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DRAN2025.04 | 4.845 | 21.948 | 0.437 | |
| ST-SSL2025.04 | 4.91 | 22.025 | 2.292 | |
| MegaCRN2025.04 | 5.057 | 24.452 | 1.334 | |
| RGSL2025.04 | 5.155 | 24.832 | 2.214 | |
| DST-Mamba2025.04 | 5.171 | 25.046 | 2.39 | |
| STDN2025.04 | 5.223 | 25.021 | 8.942 | |
| STAEformer2025.04 | 5.283 | 25.307 | 1.59 | |
| AutoTCL2025.04 | 5.772 | 28.639 | 0.476 | |
| ASTGCN2025.04 | 6.19 | 28.764 | 2.293 | |
| InfoTS2025.04 | 6.259 | 30.628 | 0.455 | |
| TESTAM2025.04 | 6.365 | 28.143 | 2.665 | |
| GCGRU2025.04 | 6.643 | 24.024 | 1.204 | |
| MemDA2025.04 | 6.666 | 29.653 | 3.508 | |
| DCRNN2025.04 | 8.517 | 34.611 | 1.303 | |
| AGCRN2025.04 | 10.377 | 34.516 | 9.377 | |
| TGCN2025.04 | 11.488 | 36.789 | 3.402 | |
| DA-RNN2025.04 | 15.159 | 63.687 | 3.567 | |
| STGCN2025.04 | 17.297 | 55.595 | 7.99 |