Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs

25 November 2024

Papers citing "Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs"

5 / 5 papers shown

Title
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks Zepu Wang Dingyi Zhuang Yankai Li Jinhua Zhao Peng Sun Shenhao Wang Yulin Hu GNN AI4TS 76 15 0 10 May 2023
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 60 20 0 21 Aug 2022
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting Mengzhang Li Zhanxing Zhu GNN AI4TS 69 771 0 15 Dec 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 86 1,195 0 06 Jul 2020
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 107 631 0 14 Feb 2012