mlsanityData to 7 Oct 2026

bnRep: A repository of Bayesian networks from the academic literature

arXiv 2409.19158 ↗First posted 27 Sep 2024cs.AI physics.soc-phcited by 9

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Abstract (arXiv)

Bayesian networks (BNs) are widely used for modeling complex systems with uncertainty, yet repositories of pre-built BNs remain limited. This paper introduces bnRep, an open-source R package offering a comprehensive collection of documented BNs, facilitating benchmarking, replicability, and education. With over 200 networks from academic publications, bnRep integrates seamlessly with bnlearn and other R packages, providing users with interactive tools for network exploration.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 14 of its 43 references that are in the map. First posted on arXiv 27 Sep 2024.

Builds on

14 of 43 references.

References · 14

  1. 2013Learning Bayesian Networks: The Combination of Knowledge and Statistical Datacited by 185
  2. 2021A survey of Bayesian Network structure learningcited by 85
  3. 2013Learning Gaussian Networkscited by 62
  4. 2021The impact of prior knowledge on causal structure learningcited by 35
  5. 2020Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy datacited by 29
  6. 2018Efficient Sampling and Structure Learning of Bayesian Networkscited by 28
  7. 2020A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Futurecited by 22
  8. 2013Learning Bayesian Networks: A Unification for Discrete and Gaussian Domainscited by 21
  9. 2020BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoningcited by 13
  10. 2021Greedy structure learning from data that contain systematic missing valuescited by 12
  11. 2021Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R packagecited by 8
  12. 2021Semiparametric Bayesian Networkscited by 6
2 more
  1. 2020Learning Bayesian Networks from Incomplete Data with the Node-Average Likelihoodcited by 3
  2. 2014From Science to Management: Using Bayesian Networks to Learn about Lyngbyacited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 4.

9 papers.

  1. 2025Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterizationcited by 15
  2. 2025Bayesian Network Structure Discovery Using Large Language Modelscited by 5
  3. 2025Stable Structure Learning with HC-Stable and Tabu-Stable Algorithmscited by 2
  4. 2026Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Modelscited by 1
  5. 2025Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networkscited by 0
  6. 2025Structural Refinement of Bayesian Networks for Efficient Model Parameterisationcited by 0
  7. 2026Variance Computation for Weighted Model Counting with Knowledge Compilation Approachcited by 0
  8. 2026Structured Inference with Large Language Gibbscited by 0
  9. 2026LLM-Augmented Causal Discovery: Probabilistic Fusion of Edge Existence and Orientationcited by 0