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Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
16 references·0 citing·21 second hopsampled
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting (2023)Spatio-Temporal Meta-Graph Learning for T…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…Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Traffic Flow Prediction via S…GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)GMAN: A Graph Multi-Attention…Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Adaptive Graph Convolutional …T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)T-GCN: A Temporal Graph Convo…Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Spatiotemporal Multi-Graph Co…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…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…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…Vector Autoregressions (2001)Vector AutoregressionsAutoregressive conditional heteroskedasticity and changes in regime (1994)Autoregressive conditional he…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)Short-term traffic forecasting: Where we are and where we’re going (2014)Using LSTM and GRU neural network methods for traffic flow prediction (2016)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Fractionally integrated generalized autoregressive conditional heteroskedasticity (1996)Discrete Choice Methods with Simulation (2001)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)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)Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting (2020)Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)A Survey on Deep Learning for Human Mobility (2021)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)
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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
  • 2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 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
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
  • 1994Autoregressive conditional heteroskedasticity and changes in regime1,846 cited
  • 2022Graph neural network for traffic forecasting: A survey1,484 cited
  • 2001Vector Autoregressions1,183 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2020Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting1,075 cited
  • 2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 cited

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2020
Traffic Flow Prediction via Spatial Temporal Graph Neural Network
670 cited
  • 2022Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution618 cited
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