Adaptive Skeleton Construction for Accurate DAG Learning
Author:
Affiliation:
1. Key Laboratory of Knowledge Engineering With Big Data of Ministry of Education, Hefei University of Technology, Hefei, China
2. UniSA STEM, University of South Australia, Adelaide, Australia
Funder
National Key Research and Development Program of China
Australian Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/69/10251471/10098143.pdf?arnumber=10098143
Reference42 articles.
1. DAG-GNN: DAG structure learning with graph neural networks;yu;Proc Int Conf Mach Learn,2019
2. Dags with no tears: Continuous optimization for structure learning;zheng;Proc Adv Neural Inf Process Syst,2018
3. Bayesian network induction via local neighborhoods;margaritis;Proc Adv Neural Inf Process Syst,1999
4. The max-min hill-climbing Bayesian network structure learning algorithm
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