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Multivariate Time Series Forecasting on Traffic (MAE, RMSE, MAPE)

0.011MAEFourierGNN
-0.009960.131520.2730.41448Nov 10, 2023

Evaluation results

MethodLinks
FourierGNNInput length=12, Prediction length=122023.110.0110.02328.71
GraphWaveNetInput length=12, Prediction length=122023.110.0130.03433.78
MTGNNInput length=12, Prediction length=122023.110.0130.0329.53
InformerInput length=12, Prediction length=122023.110.020.03359.34
DeepGLOInput length=12, Prediction length=122023.110.0250.03733.32
FEDformerInput length=12, Prediction length=122023.110.0250.03885.12
LSTNetInput length=12, Prediction length=122023.110.0260.05725.77
SFMInput length=12, Prediction length=122023.110.0290.04459.33
ReformerInput length=12, Prediction length=122023.110.0290.042112.58
AutoformerInput length=12, Prediction length=122023.110.0290.043100.02
TCNInput length=12, Prediction length=122023.110.0520.067—
StemGNNInput length=12, Prediction length=122023.110.080.13564.51
AGCRNInput length=12, Prediction length=122023.110.0840.16631.73
VARInput length=12, Prediction length=122023.110.5351.133550.12