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The G-invariant graph Laplacian Part I: Convergence rate and eigendecomposition

Applied and Computational Harmonic Analysis(2024)10.1016/j.acha.2024.101637Source: DataRank Database

The G-invariant graph Laplacian Part I: Convergence rate and eigendecomposition is a research paper published in Applied and Computational Harmonic Analysis (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 0.82)OA: greenTopics (18)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Paulina Hoyos ORCID,Xiuyuan Cheng ORCID,Joe Kileel ORCID,Yoel Shkolnisky ORCID,Eitan Rosen ORCID

Live enrichment

PubMed:40534621 PMC:PMC12175102 OpenAlex:https://openalex.org/W4392016942

NIGMS NIH HHS

Grant: R01 GM136780

European Research Council

National Science Foundation

NIGMS

BSF

FWCI

0.82

Citation Percentile

0.6%

Citation Trend

2024

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12175102/pdf/nihms-2088710.pdf

publisherhttps://api.elsevier.com/content/article/PII:S1063520324000149?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1063520324000149?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12175102

Fields of Study

Graph theory and applicationsMatrix Theory and AlgorithmsSpectral Theory in Mathematical Physics

Keywords

MathematicsInvariant (physics)Laplacian matrixRate of convergenceGraphEigenvalues and eigenvectorsLaplace operatorCombinatoricsPure mathematicsDiscrete mathematicsMathematical analysisManifold LearningGraph LaplacianGroup InvarianceManifold Denoising

Sustainable Development Goals

SDG 0: Reduced inequalities