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Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction
16 references·0 citing·18 second hopsampled
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction (2023)Traffic flow matrix-based graph neural ne…Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient (2022)Using support vector regressi…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Graph neural network for traffic forecasting: A survey (2022)Graph neural network for traf…Graph Neural Controlled Differential Equations for Traffic Forecasting (2022)Graph Neural Controlled Diffe…Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021)Spatial-Temporal Graph ODE Ne…Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting (2021)Spatial-Temporal Fusion Graph…Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)Learning Dynamics and Heterog…Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer (2021)Learning Dynamic and Hierarch…Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Traffic Flow Prediction via S…Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Temporal Multi-Graph Convolut…Spatial-Temporal Transformer Networks for Traffic Flow Forecasting (2020)Spatial-Temporal Transformer …Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting (2020)Spatial-Temporal Synchronous …GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)GMAN: A Graph Multi-Attention…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Hybrid Deep Learning Model …Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Attention Based Spatial-Tempo…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Time series forecasting using a hybrid ARIMA and neural network model (2003)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction (2021)Traffic flow prediction models – A review of deep learning techniques (2021)Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction (2023)Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting (2023)A Survey on Deep Learning for Human Mobility (2021)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Decoupled dynamic spatial-temporal graph neural network for traffic forecasting (2022)
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References

  • 2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 cited
  • 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
  • 2020Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting1,732 cited
  • 2022Graph neural network for traffic forecasting: A survey1,484 cited
  • 2021Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting1,035 cited
  • 2021Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting799 cited
  • 2021Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting725 cited
  • 2020Traffic Flow Prediction via Spatial Temporal Graph Neural Network670 cited
  • 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecasting606 cited
  • 2020A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction574 cited
  • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
  • 2022Graph Neural Controlled Differential Equations for Traffic Forecasting384 cited
  • 2020Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction305 cited
  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

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305 cited
  • 2021Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer302 cited
  • 2022Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient296 cited
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