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Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems
16 references·3 citing·26 second hop
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems (2020)Variational Graph Neural Networks for Roa…Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction (2020)Optimized Graph Convolution R…Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning (2019)Urban Traffic Prediction from…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…LSTM-based traffic flow prediction with missing data (2018)LSTM-based traffic flow predi…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…Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Big data and its technical challenges (2014)Big data and its technical ch…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Extreme Value Theory: An Introduction (2007)Extreme Value Theory: An Intr…Extreme value theory : an introduction (2006)Extreme value theory : an int…Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Urban traffic flow prediction techniques: A review (2022)Urban traffic flow prediction…Graph neural network for traffic forecasting: A survey (2022)Graph neural network for traf…Graph Neural Network-Driven Traffic Forecasting for the Connected Internet of Vehicles (2021)Graph Neural Network-Driven T…Understanding individual human mobility patterns (2008)Big data: The next frontier for innovation, competition, and productivity (2011)The Filter Bubble: What the Internet Is Hiding from You (2011)Big Data and cloud computing: innovation opportunities and challenges (2016)Debating big data: A literature review on realizing value from big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)LSTM network: a deep learning approach for short‐term traffic forecast (2017)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)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)Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)A Survey on Deep Learning for Human Mobility (2021)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Stationary max-stable fields associated to negative definite functions (2009)Statistical Modeling of Spatial Extremes (2012)Power-law distributions in empirical data (2018)
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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
  • 2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2006Extreme value theory : an introduction1,291 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2014Big data and its technical challenges1,066 cited
  • 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 1997Traffic Flow Forecasting: Comparison of Modeling Approaches686 cited
  • 2019Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning621 cited
  • 2007Extreme Value Theory: An Introduction568 cited

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2018
LSTM-based traffic flow prediction with missing data
554 cited
  • 2020Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction384 cited
  • Cited by

    • 2022Graph neural network for traffic forecasting: A survey1,484 cited
    • 2022Urban traffic flow prediction techniques: A review238 cited
    • 2021Graph Neural Network-Driven Traffic Forecasting for the Connected Internet of Vehicles150 cited