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Graph WaveNet for Deep Spatial-Temporal Graph Modeling
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Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Graph WaveNet for Deep Spatial-Temporal G…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Deep Multi-View Spatial-Tempo…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…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…PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction (2023)PDFormer: Propagation Delay-A…Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Graph Neural Networks for Int…Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting (2022)Spatial-Temporal Identity: A …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…Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Deep Learning on Traffic Pred…Decoupled dynamic spatial-temporal graph neural network for traffic forecasting (2022)Decoupled dynamic spatial-tem…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…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…Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Adaptive Graph Convolutional …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)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)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)A Survey on Deep Learning for Human Mobility (2021)
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References

  • 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
  • 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited

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  • 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
  • 2022Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

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618 cited
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