Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

14 September 2017

Papers citing "Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting"

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Title
Short-term traffic prediction using physics-aware neural networks M. Pereira Annika Lang Balázs Kulcsár 34 21 0 21 Sep 2021
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns Yuebing Liang Zhan Zhao Lijun Sun GNN AI4TS 35 61 0 17 Sep 2021
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment Lukas Graf T. Harks Kostas Kollias M. Markl 29 4 0 14 Sep 2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction Fuchen Gao Zhanquan Wang Zhenguang Liu AI4TS GNN 30 5 0 29 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction Renhe Jiang Du Yin Zhaonan Wang Yizhuo Wang Jiewen Deng Hangcheng Liu Z. Cai Jinliang Deng Xuan Song Ryosuke Shibasaki AI4TS 57 158 0 20 Aug 2021
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction Siyuan Ren Bin Guo LongBing Cao Ke Li Jiaqi Liu Zhiwen Yu 10 8 0 18 Aug 2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network Maosen Li Siheng Chen Yanning Shen Ge Liu Ivor W. Tsang Ya-Qin Zhang 22 42 0 02 Jul 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting Zheng Fang Qingqing Long Guojie Song Kunqing Xie AI4TS 17 456 0 24 Jun 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 30 847 0 13 Jun 2021
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning Xu Chen Junshan Wang Kunqing Xie AI4TS AI4CE 13 60 0 11 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 31 22 0 10 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 27 114 0 08 Jun 2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi Ma Rose Yu AI4TS 10 68 0 25 May 2021
Federated Graph Learning -- A Position Paper Hu Zhang T. Shen Fei Wu Mingyang Yin Hongxia Yang Chao Wu FedML 16 49 0 24 May 2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting Yuzhou Chen I. Segovia-Dominguez Yulia R. Gel AI4TS 29 137 0 10 May 2021
FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting Bi Yan Chao Yang F. Chen Kohei Takeda Changjun Wang 23 13 0 06 May 2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution Fuxian Li J. Feng Huan Yan G. Jin Depeng Jin Yong Li GNN AI4TS 19 357 0 30 Apr 2021
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation T. S. Jepsen Christian S. Jensen Thomas D. Nielsen OT AI4TS 79 2 0 27 Apr 2021
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network Amit Roy Kashob Kumar Roy A. Ali M. A. Amin A. Rahman AI4TS 54 28 0 26 Apr 2021
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes Zhengyong Chen Hongde Wu Noel E. O'Connor Mingming Liu GNN 27 11 0 21 Apr 2021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models Benedek Rozemberczki P. Scherer Yixuan He G. Panagopoulos Alexander Riedel ... Oliver Kiss Ferenc Béres Guzmán López Nicolas Collignon Rik Sarkar AI4CE 29 199 0 15 Apr 2021
Traffic Forecasting using Vehicle-to-Vehicle Communication Steven Y. K. Wong Lejun Jiang Robin G. Walters Tamás G. Molnár G. Orosz Rose Yu 28 11 0 12 Apr 2021
Learning dynamic and hierarchical traffic spatiotemporal features with Transformer Haoyang Yan Xiaolei Ma ViT AI4TS 16 150 0 12 Apr 2021
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks Salva Rühling Cachay Emma Erickson A. Bucker Ernest Pokropek Willa Potosnak S. Bire Salomey Osei Björn Lütjens AI4TS 14 25 0 11 Apr 2021
Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding Faxi Yuan Yuanchang Xu Qingchun Li Ali Mostafavi 12 40 0 06 Apr 2021
Bayesian Graph Convolutional Network for Traffic Prediction Jun Fu Wei Zhou Zhibo Chen GNN BDL 16 8 0 01 Apr 2021
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version Razvan-Gabriel Cirstea Chenjuan Guo B. Yang AI4TS 29 42 0 19 Mar 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 16 498 0 13 Mar 2021
Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks Juntong Liu Yong Xiao Yingyu Li Guangming Shi Walid Saad H. Vincent Poor GNN 26 3 0 13 Mar 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions Jianfei Gao Bruno Ribeiro 29 11 0 12 Mar 2021
Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction Xuran Xu Tong Zhang Chunyan Xu Zhen Cui Jian Yang GNN 21 3 0 10 Mar 2021
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network Yonghong Luo Chao Lu Lipeng Zhu Jie Song 39 57 0 05 Mar 2021
Graph-Time Convolutional Neural Networks Elvin Isufi Gabriele Mazzola GNN AI4TS 24 14 0 02 Mar 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han S. Dasgupta Joydeep Ghosh AI4TS 31 34 0 25 Feb 2021
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi Ma Rose Yu FedML 22 27 0 12 Feb 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 108 227 0 18 Jan 2021
Do We Really Need Deep Learning Models for Time Series Forecasting? Shereen Elsayed Daniela Thyssens Ahmed Rashed H. Jomaa Lars Schmidt-Thieme AI4TS 16 105 0 06 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 130 72 0 04 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 24 22 0 16 Dec 2020
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting Mengzhang Li Zhanxing Zhu GNN AI4TS 17 745 0 15 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong GNN AI4TS 18 148 0 15 Dec 2020
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 32 67 0 02 Dec 2020
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting Jiawei Zhu Xing Han Hanhan Deng Chao Tao Ling Zhao Pu Wang Tao Lin Haifeng Li AI4TS 29 99 0 26 Nov 2020
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting Jiawei Zhu Chao Tao Hanhan Deng Ling Zhao Qiongjie Wang Tao Lin Haifeng Li GNN AI4TS 24 123 0 22 Nov 2020
Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video Shan Lin Fangbo Qin Haonan Peng Randall Bly K. Moe Blake Hannaford 27 18 0 17 Nov 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 30 225 0 30 Sep 2020
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN Prediction Xiaorong Hu Chenguang Zhao Gang Wang 23 11 0 29 Sep 2020
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction Xiong Dan 9 7 0 22 Sep 2020