With the growth of model and data sizes, a broad effort has been made to...
Clustering (or community detection) on multilayer graphs poses several
a...
The computing cost and memory demand of deep learning pipelines have gro...
We consider the problem of attaining either the maximal increase or redu...
Graph Semi-Supervised learning is an important data analysis tool, where...
The homology groups of a simplicial complex reveal fundamental propertie...
Nonlinear eigenvalue problems for pairs of homogeneous convex functions ...
Neural networks have achieved tremendous success in a large variety of
a...
Core-periphery detection is a key task in exploratory network analysis w...
Inspired by the linear Schrödinger operator, we consider a generalized
p...
The self-consistent field (SCF) iteration, combined with its variants, i...
A non-backtracking random walk on a graph is a random walk where, at eac...
Hypergraphs are a common model for multiway relationships in data, and
h...
Network scientists have shown that there is great value in studying pair...
Label spreading is a general technique for semi-supervised learning with...
We analyze the global convergence of the power iterates for the computat...
In this work we introduce and study a nonlocal version of the PageRank. ...
We study the task of semi-supervised learning on multilayer graphs by ta...
We propose and analyse a general tensor-based framework for incorporatin...
This work is concerned with the computation of ℓ^p-eigenvalues and
eigen...
Ergodicity coefficients for stochastic matrices provide valuable upper b...
Ergodicity coefficients for stochastic matrices provide valuable upper b...
Signed graphs encode positive (attractive) and negative (repulsive) rela...
We introduce a ranking model for temporal multi-dimensional weighted and...
Multilayer graphs encode different kind of interactions between the same...
Inspired by the definition of symmetric decomposition, we introduce the
...
Identifying important components in a network is one of the major goals ...
Revealing a community structure in a network or dataset is a central pro...
Signed networks allow to model positive and negative relationships. We
a...
Hypergraph matching has recently become a popular approach for solving
c...