App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 12

Bayesian network node ordering learning based on conditional constraint local orientation and global integration

Wu Xinrong
Liu Cheng
School of Mathematics, Southwest Jiaotong University, Chengdu Sichuan 611756, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0118

Abstract

The K2 algorithm for Bayesian networks strongly depends on node ordering. Non-target association interference and likelihood equivalence constraints often affect existing ordering methods. This paper proposed a node ordering learning method based on Condition-Constrained Local Orientation and Global Integration (CLOI) . The method identified local neighborhoods under the MMPC framework and reduced non-target association interference through hierarchical condition-set screening. It then combined stable collider structures with the Normalized Independent Heterogeneity Score (NIHS) to perform progressive local orientation. Finally, it generated node orderings that satisfy the prior constraints of K2 through global integration. Experiments on four standard Bayesian networks show that CLOI outperforms comparison methods in F1 score and correct edges (CE) in 75% of the medium and large sample experimental setups. The results indicate that CLOI has good cross-network stability and generates higher-quality node orderings.

Foundation Support

国家自然科学基金青年项目(72001180)
中央高校基本科研业务费专项资金(2682025ZTPY001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0118
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 12

Publish History

[2026-08-21] Accepted Paper

Cite This Article

吴欣容, 刘赪. 基于条件约束局部定向与全局整合的贝叶斯网络节点序学习 [J]. 计算机应用研究, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0118. (Wu Xinrong, Liu Cheng. Bayesian network node ordering learning based on conditional constraint local orientation and global integration [J]. Application Research of Computers, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0118. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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