Traffic Prediction on PeMS-M

Metric: MAE (60 min) (lower is better)

LeaderboardDataset

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#	Model↕	MAE (60 min)▲	Extra Data	Paper	Date↕	Code
1	ST-UNet	3.38	No	ST-UNet: A Spatio-Temporal U-Network for Graph-s...	2019-03-13	-
2	3D-TGCN	3.65	No	3D Graph Convolutional Networks with Temporal Gr...	2019-03-03	-
3	STGCN	4.02	No	Spatio-Temporal Graph Convolutional Networks: A ...	2017-09-14	Code
4	FC-LSTM	4.16	Yes	Sequence to Sequence Learning with Neural Networks	2014-09-10	Code
5	T-UNet	7.036	No	ST-UNet: A Spatio-Temporal U-Network for Graph-s...	2019-03-13	-

#1ST-UNetSOTA
3.38
MAE (60 min)· 2019-03-13
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
#23D-TGCNSOTA
3.65
MAE (60 min)· 2019-03-03
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
#3STGCNSOTA
4.02
MAE (60 min)· 2017-09-14
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Code
#4FC-LSTMSOTA
4.16
MAE (60 min)· Extra Data· 2014-09-10
Sequence to Sequence Learning with Neural Networks Code
#5T-UNet
7.036
MAE (60 min)· 2019-03-13
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling