bnRep: A repository of Bayesian networks from the academic literature

2024/09/27 by Manuele Leonelli, Leonelli, Manuele · 7 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Semantic Web and Ontologies #Biomedical Text Mining and Ontologies #Bayesian Modeling and Causal Inference

paper · pdf · doi:10.48550/arxiv.2409.19158

Abstract

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.

Cited by

• Bayesian Network Structure Discovery Using Large Language Models
• Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models
• Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
• Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks
• Understanding support for AI regulation: A Bayesian network perspective
• Disentangling Spatial and Structural Drivers of Housing Prices through Bayesian Networks: A Case Study of Madrid, Barcelona, and Valencia
• Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization

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