13 citations · 27 across the 4 of their papers we have counts for
15 papers
Nonlinear Spectral Duality
Francesco Tudisco, Dong Zhang
Nonlinear eigenvalue problems for pairs of homogeneous convex functions are particular nonlinear constrained optimization problems that arise in a variety of settings, including gr…
Node and Edge Nonlinear Eigenvector Centrality for Hypergraphs
Francesco Tudisco, Desmond J. Higham
Network scientists have shown that there is great value in studying pairwise interactions between components in a system. From a linear algebra point of view, this involves definin…
Nonlinear Higher-Order Label Spreading
Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
Label spreading is a general technique for semi-supervised learning with point cloud or network data, which can be interpreted as a diffusion of labels on a graph. While there are…
Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains
Antoine Gautier, Matthias Hein, Francesco Tudisco
We analyze the global convergence of the power iterates for the computation of a general mixed-subordinate matrix norm. We prove a new global convergence theorem for a class of ent…
Nonlocal PageRank
Stefano Cipolla, Fabio Durastante, Francesco Tudisco
In this work we introduce and study a nonlocal version of the PageRank. In our approach, the random walker explores the graph using longer excursions than just moving between neigh…
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado, Francesco Tudisco, Matthias Hein
We study the task of semi-supervised learning on multilayer graphs by taking into account both labeled and unlabeled observations together with the information encoded by each indi…