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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
12 references·16 citing·23 second hop
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)T-GCN: A Temporal Graph Convolutional Net…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…Using LSTM and GRU neural network methods for traffic flow prediction (2016)Using LSTM and GRU neural net…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Analysis of subway station capacity with the use of queueing theory (2013)Analysis of subway station ca…Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Travel time prediction with support vector regression (2004)Travel time prediction with s…A Summary of Traffic Flow Forecasting Methods (2004)A Summary of Traffic Flow For…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Spatio-Temporal Meta-Graph Learning for Traffic Forecasting (2023)Spatio-Temporal Meta-Graph Le…Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Spatio-Temporal Graph Neural …Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting (2023)Spatio-Temporal Adaptive Embe…Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Graph Neural Networks for Int…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting (2022)Pre-training Enhanced Spatial…Graph neural network for traffic forecasting: A survey (2022)Graph neural network for traf…Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Deep Learning on Traffic Pred…Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021)Spatial-Temporal Graph ODE Ne…A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2021)A3T-GCN: Attention Temporal G…Urban flow prediction from spatiotemporal data using machine learning: A survey (2020)Urban flow prediction from sp…Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting (2020)Traffic transformer: Capturin…Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Traffic Flow Prediction via S…How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…A Multi-Stream Feature Fusion Approach for Traffic Prediction (2020)A Multi-Stream Feature Fusion…A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)A graph CNN-LSTM neural netwo…Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)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)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)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)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)Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting (2020)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)A Survey on Deep Learning for Human Mobility (2021)
this work references cited by second hop

References

  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 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
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2016Using LSTM and GRU neural network methods for traffic flow prediction1,593 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2013Analysis of subway station capacity with the use of queueing theory184 cited
  • 2004A Summary of Traffic Flow Forecasting Methods184 cited
  • 2004Travel time prediction with support vector regression166 cited

Cited by

  • 2022Graph neural network for traffic forecasting: A survey1,484 cited
  • 2021Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting725 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey691 cited
  • 2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited
  • 2020Traffic Flow Prediction via Spatial Temporal Graph Neural Network670 cited
  • 2023Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting494 cited
  • 2020Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting417 cited
  • 2021A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting409 cited
  • 2023Graph Neural Networks for Intelligent Transportation Systems: A Survey397 cited
  • 2020A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data389 cited
  • 2022Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting369 cited
  • 2023Spatio-Temporal Meta-Graph Learning for Traffic Forecasting358 cited
  • 2020A Multi-Stream Feature Fusion Approach for Traffic Prediction340 cited
  • 2020Urban flow prediction from spatiotemporal data using machine learning: A survey311 cited
  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
  • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited