ABGde
ABGde is a hypothetical framework used in discussions of graph data analysis to illustrate how adaptive Bayesian inference can be applied to the decomposition of complex networks. In this context, ABGde stands for Adaptive Bayesian Graph Decomposition engine, a conceptual pipeline that seeks to uncover latent structure in graph-structured data while providing quantified uncertainty about the results.
The core idea behind ABGde is to model graphs with probabilistic components that can adapt as more
Typical architecture of an ABGde-inspired system includes modules for data ingestion and graph construction, a probabilistic
Applications commonly associated with ABGde concepts include social network analysis, biological and metabolic networks, transportation and
Notes and status: ABGde remains a conceptual construct rather than a standardized, widely implemented framework. It