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Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
14 references·0 citing·13 second hopsampled
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting (2023)Spatio-Temporal Adaptive Embedding Makes …Towards Spatio- Temporal Aware Traffic Time Series Forecasting (2022)Towards Spatio- Temporal Awar…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…DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (2021)DL-Traff: Survey and Benchmar…Coupled Layer-wise Graph Convolution for Transportation Demand Prediction (2021)Coupled Layer-wise Graph Conv…Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Traffic Flow Prediction via S…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…Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning (2019)Urban Traffic Prediction from…T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)T-GCN: A Temporal Graph Convo…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…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)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Graph neural network for traffic forecasting: A survey (2022)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Time series forecasting using a hybrid ARIMA and neural network model (2003)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)Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)Graph Neural Controlled Differential Equations for Traffic Forecasting (2022)
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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
  • 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
  • 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
  • 2021Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting1,035 cited
  • 2021Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting725 cited
  • 2020Traffic Flow Prediction via Spatial Temporal Graph Neural Network670 cited
  • 2019Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning621 cited
  • 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecasting606 cited
  • 2021Coupled Layer-wise Graph Convolution for Transportation Demand Prediction201 cited
  • 2021DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction184 cited
  • 2022Towards Spatio- Temporal Aware Traffic Time Series Forecasting170 cited

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