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GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network

GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network

28 January 2023
Yang Sun
Yifan Xie
    BDL
    CML
ArXivPDFHTML

Papers citing "GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network"

3 / 3 papers shown
Title
Causal Discovery from Conditionally Stationary Time Series
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells-Rodas
Ruibo Tu
Hedvig Kjellström
Yingzhen Li
Gabriele Schweikert
Hedvig Kjellstrom
Yingzhen Li
BDL
CML
AI4TS
32
5
0
12 Oct 2021
Relating Graph Neural Networks to Structural Causal Models
Relating Graph Neural Networks to Structural Causal Models
Matej Zečević
D. Dhami
Petar Velickovic
Kristian Kersting
AI4CE
CML
53
53
0
09 Sep 2021
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric P. Xing
CML
101
254
0
29 Sep 2019
1