Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting

25 February 2022

Jiabin Tang

Tianrui Li

Papers citing "Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting"

6 / 6 papers shown

Title
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 33 1 0 05 Dec 2023
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification Parniyan Jalali M. Safayani 6 1 0 06 Nov 2023
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models Siyi Tang Jared A. Dunnmon Liangqiong Qu Khaled Kamal Saab T. Baykaner Christopher Lee-Messer D. Rubin 30 21 0 21 Nov 2022
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph Silu He Qinyao Luo Ronghua Du Ling Zhao Haifeng Li 39 36 0 30 Oct 2022
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 108 228 0 18 Jan 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015