‘Hubs-repelling’ Laplacian and related diffusion on graphs/networks
Sign Up to like & getrecommendations! Published in 2020 at "Linear Algebra and its Applications"
DOI: 10.1016/j.laa.2020.03.012
Abstract: Abstract We define and study here a graph unsymmetric Laplacian matrix that operates a diffusive process biased towards low-degree nodes. We prove that this matrix is positive semidefine with all eigenvalues real. We also prove… read more here.
Keywords: diffusion; diffusion graphs; related diffusion; repelling laplacian ... See more keywords
Sparse Graph Learning Under Laplacian-Related Constraints
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3126675
Abstract: We consider the problem of learning a sparse undirected graph underlying a given set of multivariate data. We focus on graph Laplacian-related constraints on the sparse precision matrix that encodes conditional dependence between the random… read more here.
Keywords: related constraints; precision matrix; laplacian related; graph ... See more keywords