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A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting · Study

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ArticleA Decomposition Dynamic graph convolutional recurrent network for traffic forecasting

Wenchao Weng2023

Article2023

A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting

Wenchao Weng · Jin Fan · Huifeng Wu · Yujie Hu · Hao Tian · Zhu Fu +1 more

282 citations·0/0 files stored·Pattern Recognition

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Traffic Prediction and Management Techniques Traffic control and management Advanced Graph Neural Networks

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References

2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting 2019Graph WaveNet for Deep Spatial-Temporal Graph Modeling 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting 2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction 2020Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

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Details

Year2023

Typearticle

Published2023-05-01

VenuePattern Recognition

ISSN-L0031-3203

Languageen

Citations282

Files0 public / 0

ShelfTraffic Prediction and Management Techniques

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doi10.1016/j.patcog.2023.109670

openalex_workW4367595602

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