Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

We consider a task of predicting normal and pathological phenotypes from macroscale
human brain networks. These networks (connectomes) represent aggregated neural …

How is the shape of a graph captured by the way heat diffuses between its nodes? The
Laplacian Exponential Kernel of a graph is a matrix whose eigenvalues and eigenvectors …

We define a new family of similarity and distance measures on graphs, and explore their
theoretical properties in comparison to conventional distance metrics. These measures are …

In this work, graph spectra of the normalized graph Laplacians of brain networks
(connectomes) are used for solving the task of classifying autism spectrum disorder against …

Аннотация Мы решаем задачу различения пациентов с расстройствами
аутистического спектра и людей без патологии на основе графов структурных связей …