Results 11 to 20 of about 412,587 (240)

Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature. [PDF]

open access: yesSci Rep, 2020
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]

open access: goldInternational Journal of Mathematics and Mathematical Sciences, 2002
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]

open access: green, 2004
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]

open access: yesRoyal Society Open Science
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]

open access: yesAUT Journal of Mathematics and Computing, 2023
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]

open access: yesLOG IN, 2023
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]

open access: yesInternational Conference on Machine Learning, 2022
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]

open access: yesJournal of the European Mathematical Society (Print), 2022
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]

open access: yesInternational Conference on Learning Representations, 2022
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]

open access: yesAUT Journal of Mathematics and Computing, 2021
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

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