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Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation
13 references·5 citing·27 second hop
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation (2020)Dynamic Graph Convolution Network for Tra…Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies (2019)Multistep speed prediction on…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…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)A spatiotemporal correlative …Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Dynamic data-driven local traffic state estimation and prediction (2013)Dynamic data-driven local tra…Accurate freeway travel time prediction with state-space neural networks under missing data (2005)Accurate freeway travel time …Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …DynaMIT: a simulation-based system for traffic prediction (1998)DynaMIT: a simulation-based s…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Spatio-Temporal Graph Neural …Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Graph Neural Networks for Int…Graph neural network for traffic forecasting: A survey (2022)Graph neural network for traf…Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)Dynamic Graph Convolutional R…DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (2021)DL-Traff: Survey and Benchmar…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)LSTM network: a deep learning approach for short‐term traffic forecast (2017)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Book Review: Time Series Analysis: Forecasting and Control (1977)Introduction to Time Series and Forecasting (2002)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Traffic prediction in a bike-sharing system (2015)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed 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 WaveNet for Deep Spatial-Temporal Graph Modeling (2019)A Survey on Deep Learning for Human Mobility (2021)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)Spatial-Temporal Large Language Model for Traffic Prediction (2024)
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References

  • 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 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
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2015A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting471 cited
  • 2005Accurate freeway travel time prediction with state-space neural networks under missing data448 cited
  • 2019Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies297 cited
  • 1998DynaMIT: a simulation-based system for traffic prediction203 cited
  • 2013Dynamic data-driven local traffic state estimation and prediction152 cited

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  • 2022Graph neural network for traffic forecasting: A survey

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1,484 cited
  • 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey691 cited
  • 2022Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution618 cited
  • 2023Graph Neural Networks for Intelligent Transportation Systems: A Survey397 cited
  • 2021DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction194 cited