Inductive Granger Causal Modeling for Multivariate Time Series

Inductive Granger Causal Modeling for Multivariate Time Series

10 February 2021

Yunfei Chu

Jianxin Ma

Jingren Zhou

Hongxia Yang

Papers citing "Inductive Granger Causal Modeling for Multivariate Time Series"

7 / 7 papers shown

Title
CausalMMM: Learning Causal Structure for Marketing Mix Modeling Chang Gong Di Yao Lei Zhang Sheng Chen Wenbin Li Yueyang Su Jingping Bi 34 5 0 24 Jun 2024
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data Ziyi Zhang Shaogang Ren Xiaoning Qian Nick Duffield AI4TS CML 35 3 0 14 Jun 2024
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series Chengzhe Piao Taiyu Zhu S. Baldeweg Paul Taylor Pantelis Georgiou Jiahao Sun Jun Wang Kezhi Li AI4TS 27 1 0 26 Feb 2024
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems Trang Nguyen Alexander Tong Kanika Madan Yoshua Bengio Dianbo Liu 33 4 0 05 Oct 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Fei Wu Jingren Zhou Hongxia Yang 24 91 0 11 Nov 2021