Regularized Graph Structure Learning with Semantic Knowledge for
Multi-variates Time-Series Forecasting

Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting

12 October 2022

Liang Wang

Papers citing "Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting"

8 / 8 papers shown

Title
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction Haiyang Liu Chunjiang Zhu Detian Zhang AI4TS 24 0 0 07 Jan 2024
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
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting Binqing Wu Ling-Hao Chen GNN AI4TS 31 3 0 02 Jul 2023
Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction Xunlian Luo Chunjiang Zhu Detian Zhang Qing Li GNN AI4TS 32 6 0 24 Feb 2023
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 36 36 0 30 Oct 2022
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting Juyong Jiang Binqing Wu Ling-Hao Chen Kai Zhang Sunghun Kim AI4TS 30 18 0 05 Aug 2022
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog Feilong Chen Xiuyi Chen Fandong Meng Peng Li Jie Zhou 76 34 0 17 Sep 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