Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

20 February 2018

Zhiyong Cui

Kristian C. Henrickson

Papers citing "Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting"

50 / 173 papers shown

Title
Kernel Dynamic Mode Decomposition For Sparse Reconstruction of Closable Koopman Operators Nishant Panda Himanshu Singh J. Nathan Kutz 29 0 0 11 May 2025
MultiGran-STGCNFog: Towards Accurate and High-Throughput Inference for Multi-Granular Spatiotemporal Traffic Forecasting Zhaoyan Wang Xiangchi Song In-Young Ko AI4TS 27 0 0 02 May 2025
A Double-Norm Aggregated Tensor Latent Factorization Model for Temporal-Aware Traffic Speed Imputation Jiawen Hou Hao Wu AI4TS 19 0 0 24 Apr 2025
Urban Computing in the Era of Large Language Models Zhonghang Li Lianghao Xia Xubin Ren J. Tang Tianyi Chen Yong-mei Xu C. Huang 78 0 0 02 Apr 2025
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids Dhruv Suri Mohak Mangal AI4TS 37 0 0 26 Mar 2025
Enhanced Route Planning with Calibrated Uncertainty Set Lingxuan Tang Rui Luo Zhixin Zhou Nicolo Colombo 42 1 0 13 Mar 2025
Investigating Compositional Reasoning in Time Series Foundation Models Willa Potosnak Cristian Challu Mononito Goswami Kin G. Olivares Michał Wiliński Nina Żukowska Artur Dubrawski ReLM AI4TS LRM 48 0 0 09 Feb 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift Rui Xu Chao Chen Yue Sun Parvathinathan Venkitasubramaniam Sihong Xie 28 0 0 23 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 36 0 0 08 Jan 2025
Graph Construction with Flexible Nodes for Traffic Demand Prediction Jinyan Hou Shan Liu Ya Zhang Haotong Qin AI4TS 31 0 0 03 Jan 2025
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement Jiechao Gao Yuangang Li Syeda Faiza Ahmed 21 2 0 07 Nov 2024
Graph Based Traffic Analysis and Delay Prediction Gabriele Borg Charlie Abela GNN 41 0 0 28 Oct 2024
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network Jialun Zheng Divya Saxena Jiannong Cao Hanchen Yang Penghui Ruan AI4TS 19 0 0 20 Sep 2024
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions Zemian Ke Haocheng Duan Sean Qian AI4TS MoE 14 6 0 05 Sep 2024
ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility Shuyang Li Talha Azfar Ruimin Ke LLMAG 24 7 0 29 Aug 2024
Predicting travel demand of a bike sharing system using graph convolutional neural networks Ali Behroozi A. Edrisi GNN AI4TS 22 0 0 18 Aug 2024
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework Mayur Patil Qadeer Ahmed Shawn Midlam-Mohler AI4TS 43 0 0 17 Jul 2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting Yuanjie Lu Amarda Shehu David Lattanzi GNN 27 0 0 16 Jul 2024
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks Fan Zhang Xin Zhang 32 26 0 19 Jun 2024
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction Zilin Bian Jingqin Gao K. Ozbay Fan Zuo Dachuan Zuo Zhenning Li GNN 21 0 0 18 Jun 2024
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach Zilin Bian Jingqin Gao K. Ozbay Zhenning Li 22 0 0 18 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions Siemen Brussee Giorgio Buzzanca Anne M.R. Schrader Jesper Kers 58 8 0 18 Jun 2024
Conformal Load Prediction with Transductive Graph Autoencoders Rui Luo Nicolo Colombo 29 9 0 12 Jun 2024
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data Lingxi Xiao Muqing Li Yinqiu Feng Meiqi Wang Ziyi Zhu Zexi Chen 32 16 0 23 May 2024
Adaptive Least Mean pth Power Graph Neural Networks Changran Peng Yi Yan E. Kuruoglu 29 0 0 07 May 2024
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis Haodong Wen Bodong Du Ruixun Liu Deyu Meng Xiangyong Cao 47 0 0 16 Apr 2024
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation Nooshin Yousefzadeh Rahul Sengupta Yashaswi Karnati Anand Rangarajan Sanjay Ranka 19 3 0 11 Apr 2024
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model Rui Xu Yue Sun Chao Chen Parv Venkitasubramaniam Sihong Xie OOD 23 2 0 22 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Mingyu Yan Kun He Wei Yan Shirui Pan Xiaochun Ye Dongrui Fan AAML 25 2 0 10 Mar 2024
LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge Konstantinos Zacharopoulos Georgios Koutroumpas Ioannis Arapakis Konstantinos Georgopoulos Javad Khangosstar Sotiris Ioannidis GNN 10 0 0 08 Feb 2024
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks Zhonghang Li Lianghao Xia Yong-mei Xu Chao Huang AI4TS AI4CE 85 25 0 07 Nov 2023
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization Dongcheng Zou Senzhang Wang Xuefeng Li Hao Peng Yuandong Wang Chunyang Liu Kehua Sheng Bo-Wen Zhang AI4TS 28 20 0 06 Nov 2023
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation Z. Cai Renhe Jiang Xinyu Yang Zhaonan Wang Diansheng Guo Hiroki Kobayashi Xuan Song Ryosuke Shibasaki AI4TS 13 12 0 25 Sep 2023
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems Keivan Faghih Niresi Mengjie Zhao Hugo Bissig Henri Baumann Olga Fink 16 4 0 08 Sep 2023
Establishing a real-time traffic alarm in the city of Valencia with Deep Learning Miguel G. Folgado V. Sanz J. Hirn Edgar Lorenzo-Saez Javier Urchueguia HAI 13 0 0 05 Sep 2023
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark] Jiawei Jiang Chengkai Han Wayne Xin Zhao Jingyuan Wang 14 2 0 24 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing Mehdi Azabou Venkataraman Ganesh S. Thakoor Chi-Heng Lin Lakshmi Sathidevi Ran Liu Michal Valko Petar Velickovic Eva L. Dyer 16 21 0 17 Aug 2023
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction Weilong Ding Tianpu Zhang Jianwu Wang Zhuofeng Zhao AI4TS 16 0 0 10 Aug 2023
Newell's theory based feature transformations for spatio-temporal traffic prediction Agnimitra Sengupta S. I. Guler OOD AI4TS 16 0 0 12 Jul 2023
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting Ngoc-Dung Do Truong Son-Hy D. Nguyen AI4TS 11 0 0 29 Jun 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 34 1 0 25 May 2023
Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion Ashutosh Dutta Milan Jain Arif Khan A. Sathanur AI4CE 14 1 0 16 May 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction Jiawei Jiang Chengkai Han Wenjun Jiang Wayne Xin Zhao Jingyuan Wang AI4TS AI4CE 42 7 0 27 Apr 2023
An Incomplete Tensor Tucker decomposition based Traffic Speed Prediction Method Jia-Wei Mi 11 0 0 21 Apr 2023
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks Baixiang Huang Bryan Hooi Kai Shu 13 6 0 17 Apr 2023
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference Han-Chen Chen Cong Hao GNN AI4CE 31 9 0 13 Apr 2023
TraffNet: Learning Causality of Traffic Generation for What-if Prediction Ming Xu Qiang Ai Ruimin Li Yunyi Ma Geqi Qi Xiangfu Meng Haibo Jin 11 0 0 28 Mar 2023
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach Zhongcan Li Ping Huang Chao Wen Filipe Rodrigues 19 3 0 27 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 41 12 0 10 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 29 8 0 27 Feb 2023