3D Graph Convolutional Networks with Temporal Graphs: A Spatial
Information Free Framework For Traffic Forecasting

3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting

3 March 2019

Papers citing "3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting"

8 / 8 papers shown

Title
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition Qin Li Xu Yang Yong Wang Yuankai Wu Deqiang He 38 10 0 12 Dec 2022
Rethinking The Memory Staleness Problem In Dynamics GNN Mor Ventura Hadas Ben-Atya Dekel Brav 13 0 0 06 Sep 2022
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
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 14 496 0 13 Mar 2021
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong GNN AI4TS 11 148 0 15 Dec 2020
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency Xinglei Wang Xuefeng Guan Jun Cao N. Zhang Huayi Wu GNN AI4TS 19 42 0 06 Apr 2020
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network Jintao Ke Xiaoran Qin Hai Yang Zhengfei Zheng Zheng Zhu Jieping Ye AI4TS 35 151 0 17 Oct 2019
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 30 736 0 20 Feb 2018