KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

26 November 2020

Papers citing "KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting"

5 / 5 papers shown

Title
Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation Nan Jiang Wenxuan Zhu Xu Han Weiqiang Huang Yumeng Sun GNN 43 0 0 12 May 2025
Accounting for Work Zone Disruptions in Traffic Flow Forecasting Yuanjie Lu Amarda Shehu David Lattanzi GNN 29 0 0 16 Jul 2024
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 24 56 0 15 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 33 36 0 30 Oct 2022
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie M. Zhang 30 63 0 18 Oct 2019