Time Series Forecasting on PeMSD7

Metric: 9 steps MAE (lower is better)

LeaderboardDataset

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#	Model↕	9 steps MAE▲	Extra Data	Paper	Date↕	Code
1	STGCN-Cov	3.51	No	-	-	Code
2	STGCN(Cheb)	3.57	No	Spatio-Temporal Graph Convolutional Networks: A ...	2017-09-14	Code
3	STGCN(1st)	3.79	No	Spatio-Temporal Graph Convolutional Networks: A ...	2017-09-14	Code
4	FC-LSTM	4.16	No	Sequence to Sequence Learning with Neural Networks	2014-09-10	Code
5	Linear Support Victor Regression	4.54	No	-	-	-
6	Feed-Forward Neural Network	5.04	No	-	-	-
7	Auto-Regressive Integrated Moving Average	6.27	No	-	-	-

#1STGCN-Cov
3.51
9 steps MAE
No paperCode
#2STGCN(Cheb)SOTA
3.57
9 steps MAE· 2017-09-14
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Code
#3STGCN(1st)SOTA
3.79
9 steps MAE· 2017-09-14
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Code
#4FC-LSTMSOTA
4.16
9 steps MAE· 2014-09-10
Sequence to Sequence Learning with Neural Networks Code
#5Linear Support Victor Regression
4.54
9 steps MAE
No paper
#6Feed-Forward Neural Network
5.04
9 steps MAE
No paper
#7Auto-Regressive Integrated Moving Average
6.27
9 steps MAE
No paper