Research Article
Spatiotemporal Virtual Graph Convolution Network for Key Origin-Destination Flow Prediction in Metro System
Table 2
Comparison of performances of different models.
| Models | RMSE | MAE | R 2 |
| HA | 15.134 | 5.787 | 0.360 | ARIMA | 11.321 | 6.065 | 0.105 | SVR | 8.416 | 3.748 | 0.802 | GCN | 13.619 | 5.191 | 0.482 | GRU | 12.071 | 5.015 | 0.593 | ST-VGCN | 8.360 | 3.492 | 0.805 |
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