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ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

11 references·11 citing·29 second hopsampled

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References

2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
2019Graph WaveNet for Deep Spatial-Temporal Graph Modeling3,706 cited
2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
2014Big data and its technical challenges1,066 cited
2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited
2003Vector Autoregressive Models for Multivariate Time Series361 cited
2007Vector Autoregressive Models for Multivariate Time Series179 cited
2018ruptures: change point detection in Python113 cited

Cited by

2022Graph neural network for traffic forecasting: A survey1,484 cited
2021Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting1,035 cited
2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited

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2022

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

618 cited

2022Decoupled dynamic spatial-temporal graph neural network for traffic forecasting510 cited

2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited

2021Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues293 cited

2021ETA Prediction with Graph Neural Networks in Google Maps266 cited

2023Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting187 cited

2022Towards Spatio- Temporal Aware Traffic Time Series Forecasting177 cited

2023When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks160 cited