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Multivariate Time Series Forecasting on Traffic

0.4162RSE

MTGNN

0.4019920.4978960.59380.689704Sep 12, 2018Dec 24, 2018Apr 6, 2019Jul 19, 2019Oct 30, 2019Feb 10, 2020May 24, 2020
Updated 4d ago

Evaluation Results

MethodLinks
2020.05
0.4162-0.8963
2018.09
0.44030.31960.8704
2020.05
0.4461-0.8794
0.44870.29010.8812
2020.05
0.4535-0.881
2018.09
0.46110.32260.8641
0.46410.31120.8717
0.46580.29990.8717
2020.05
0.4754-0.8667
0.47650.31180.8629
2018.09
0.47770.32870.8721
2018.09
0.48050.33720.8506
2018.09
0.48460.33680.8465
2018.09
0.48930.36270.869
2018.09
0.48970.32770.8669
2018.09
0.48980.33480.8443
2018.09
0.4950.35180.8614
2018.09
0.49730.35570.854
2018.09
0.51730.38520.8588
2018.09
0.530.36660.8429
2018.09
0.5740.46290.7993
2018.09
0.58330.49650.8038
2018.09
0.59090.50410.785
2018.09
0.5920.51150.8051
2018.09
0.59910.44910.7752
2020.05
0.5991-0.7752
2018.09
0.59950.48290.7909
2018.09
0.60250.48460.7862
2018.09
0.60820.51480.7831
2018.09
0.61480.51980.7879
2018.09
0.62180.4610.7568
2020.05
0.6218-0.7568
2018.09
0.62520.470.7544
2020.05
0.6252-0.7544
2018.09
0.62930.46960.7519
2020.05
0.63-0.7519
2018.09
0.64060.53160.7671
2018.09
0.6580.54830.7267
2018.09
0.67720.57590.7406
2018.09
0.77140.74540.6711