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LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks
12 references·1 citing·24 second hop
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks (2020)LSGCN: Long Short-Term Traffic Prediction…GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)GMAN: A Graph Multi-Attention…Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Revisiting Spatial-Temporal S…Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Graph WaveNet for Deep Spatia…Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Attention Based Spatial-Tempo…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework (2016)Short-term traffic flow forec…DNN-based prediction model for spatio-temporal data (2016)DNN-based prediction model fo…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting (2023)A Decomposition Dynamic graph…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Traffic prediction in a bike-sharing system (2015)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting (2020)Graph neural network for traffic forecasting: A survey (2022)Exponential Smoothing with an Adaptive Response Rate (1967)The Development of a Self-Adaptive Forecasting Technique (1969)Applied Time Series Analysis for Managerial Forecasting. (1974)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Short‐term traffic forecasting: Overview of objectives and methods (2004)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)
this work references cited by second hop

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
  • 2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2016DNN-based prediction model for spatio-temporal data739 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2016Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework339 cited

Cited by

  • 2023A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting282 cited

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