Ollivier-Ricci curvature convergence in random geometric graphs
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Abstract (arXiv)
Connections between continuous and discrete worlds tend to be elusive. One example is curvature. Even though there exist numerous nonequivalent definitions of graph curvature, none is known to converge in any limit to any traditional definition of curvature of a Riemannian manifold. Here we show that Ollivier curvature of random geometric graphs in any Riemannian manifold converges in the continuum limit to Ricci curvature of the underlying manifold, but only if the definition of Ollivier graph curvature is properly generalized to apply to mesoscopic graph neighborhoods. This result establishes the first rigorous link between a definition of curvature applicable to networks and a traditional definition of curvature of smooth spaces.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Aug 2020.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 1; 2025: 3; 2026: 3.
11 papers.
- 2022Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvaturecited by 96
- 2021The Autodidactic Universecited by 7
- 2023Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower boundscited by 6
- 2024Hypergraph clustering using Ricci curvature: an edge transport perspectivecited by 1
- 2025Neural Feature Geometry Evolves as Discrete Ricci Flowcited by 1
- 2025Discrete scalar curvature as a weighted sum of Ollivier-Ricci curvaturescited by 1
- 2026Diffusion Operator Geometry of Feedforward Representationscited by 1
- 2021Non-Parametric Manifold Learningcited by 0
- 2025A roadmap for curvature-based geometric data analysis and learningcited by 0
- 2026Sobolev--Ricci Curvaturecited by 0
- 2026From Direction to Magnitude: How Multimodal Instruction-Tuning Reorganizes the Geometric Encoding of Identity-Specifying Prompts in Transformer Hidden Statescited by 0
- 2026From Direction to Magnitude: How Multimodal Instruction-Tuning Reorganizes the Geometric Encoding of Identity-Specifying Prompts in Transformer Hidden States10 Jul 2026
- 2026Diffusion Operator Geometry of Feedforward Representations1 May 2026
- 2026Sobolev--Ricci Curvature13 Mar 2026
- 2025A roadmap for curvature-based geometric data analysis and learning26 Oct 2025
- 2025Discrete scalar curvature as a weighted sum of Ollivier-Ricci curvatures6 Oct 2025
- 2025Neural Feature Geometry Evolves as Discrete Ricci Flow26 Sep 2025
- 2024Hypergraph clustering using Ricci curvature: an edge transport perspective20 Dec 2024
- 2023Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds5 Jul 2023
- 2022Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature28 Nov 2022
- 2021Non-Parametric Manifold Learning16 Jul 2021
- 2021The Autodidactic Universe29 Mar 2021