Sparse Contextual Coupling Reshapes Diffusion Geometry in Multilayer Hypergraphs
The study uses a diffusion framework to analyze how small, disease-specific layers interact with a large background layer in multilayer networks. By coupling dense functional gene sets with sparse disease-associated drug-gene data, researchers found that these sparse conditions can cause significant, interpretable changes in network geometry and community structure across different diseases.