Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature. [PDF]
Ollivier–Ricci curvature is a method for measuring the robustness of connections in a network. In this work, we use curvature to measure changes in robustness of brain networks in children with autism spectrum disorder (ASD).
Simhal AK +7 more
europepmc +2 more sources
Ricci curvature of submanifolds in Kenmotsu space forms [PDF]
In 1999, Chen established a sharp relationship between the Ricci curvature and the squared mean curvature for a submanifold in a Riemannian space form with arbitrary codimension.
Kadri Arslan +4 more
doaj +2 more sources
Ricci curvature for metric-measure spaces via optimal transport [PDF]
We dene a notion of a measured length space X having nonnegative N-Ricci curvature, for N 2 [1;1), or having1-Ricci curvature bounded below byK, forK2 R.
John Lott, Cédric Villani
openalex +3 more sources
Non-local interaction in discrete Ricci curvature-induced biological aggregation [PDF]
We investigate the collective dynamics of multi-agent systems in two- and three-dimensional environments generated by minimizing discrete Ricci curvature with local and non-local interaction neighbourhoods.
Jyotiranjan Beuria, Laxmidhar Behera
doaj +2 more sources
On $m$-th root metrics of isotropic projective Ricci curvature [PDF]
The Ricci curvature is introduced by spray on $M^n$. Sprays are deformed to projective sprays with a volume form $dV$ on $M^n$. The projective Ricci curvature is defined as the expression of Ricci curvature with sprays.
Mehran Gabrani +2 more
doaj +1 more source
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature [PDF]
While Graph Neural Networks (GNNs) have been successfully leveraged for learning on graph-structured data across domains, several potential pitfalls have been described recently.
Lukas Fesser, Melanie Weber
semanticscholar +1 more source
Revisiting Over-smoothing and Over-squashing using Ollivier's Ricci Curvature [PDF]
Graph Neural Networks (GNNs) had been demonstrated to be inherently susceptible to the problems of over-smoothing and over-squashing. These issues prohibit the ability of GNNs to model complex graph interactions by limiting their effectiveness in taking ...
K. Nguyen +5 more
semanticscholar +1 more source
Semilinear elliptic equations on manifolds with nonnegative Ricci curvature [PDF]
In this paper we prove classification results for solutions to subcritical and critical semilinear elliptic equations with a nonnegative potential on noncompact manifolds with nonnegative Ricci curvature.
G. Catino, D. Monticelli
semanticscholar +1 more source
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework [PDF]
Bridging geometry and topology, curvature is a powerful and expressive invariant. While the utility of curvature has been theoretically and empirically confirmed in the context of manifolds and graphs, its generalization to the emerging domain of ...
Corinna Coupette +2 more
semanticscholar +1 more source
Weighted Ricci curvature in Riemann-Finsler geometry [PDF]
Ricci curvature is one of the important geometric quantities in Riemann-Finsler geometry. Together with the $S$-curvature, one can define a weighted Ricci curvature for a pair of Finsler metric and a volume form on a manifold.
Zhongmin Shen
doaj +1 more source

