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Paper Citation Record · LEDGER

Analysis of Semi-Supervised Learning on Hypergraphs

As of 15 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 1 inbound Pith citation observation for arXiv:2510.25354.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2510.25354 v3

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:47:42.930411Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T02:34:45.089487Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T14:49:54.984753Z

Reference resolution

100 of 105 outbound references displayed

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  • verified fuzzy59
  • unresolved39
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External citation measurements

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Outbound references

Observation be82a4bc-1383-45a1-a3d1-77c70ba9e4eb · outbound

This paper cites from the Computational Intelligence Group, University of the Basque Country.

Analysis of Semi-Supervised Learning on Hypergraphs from the Computational Intelligence Group, University of the Basque Country

Reference 1

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Observation af8be960-55b1-4f2e-b890-6f042e9c0613 · outbound

This paper cites Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing.

Analysis of Semi-Supervised Learning on Hypergraphs Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing

Reference 2

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Observation 5dabf6e6-86d8-46b0-ab9f-2fd32e4d5b08 · outbound

This paper cites Higher order learning with graphs.

Analysis of Semi-Supervised Learning on Hypergraphs Higher order learning with graphs

Reference 3

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Observation a330b3c5-6e07-4117-8310-c89d86c8b11a · outbound

This paper cites Optical Recognition of Handwritten Digits.

Analysis of Semi-Supervised Learning on Hypergraphs Optical Recognition of Handwritten Digits

Reference 4

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Observation c29aab51-7ab9-496a-bb29-061f23909925 · outbound

This paper cites Using manifold structure for partially labelled classification.

Analysis of Semi-Supervised Learning on Hypergraphs Using manifold structure for partially labelled classification

Reference 5

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Observation 8b33e8e0-960d-4eaf-8646-d9871c461bba · outbound

This paper cites Semi-supervised learning on Riemannian manifolds.Machine Learn- ing, 56(1):209–239, 2004.

Analysis of Semi-Supervised Learning on Hypergraphs Semi-supervised learning on Riemannian manifolds.Machine Learn- ing, 56(1):209–239, 2004

Reference 6

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Observation c1175530-9ec1-4634-a7a8-34b49a994658 · outbound

This paper cites Convergence of Laplacian eigenmaps.

Analysis of Semi-Supervised Learning on Hypergraphs Convergence of Laplacian eigenmaps

Reference 7

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Observation 65f54327-d284-4458-8268-6a800ef50442 · outbound

This paper cites Bertozzi and Arjuna Flenner.

Analysis of Semi-Supervised Learning on Hypergraphs Bertozzi and Arjuna Flenner

Reference 8

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Observation 6c241682-281f-490d-b914-6301ce959abb · outbound

This paper cites Demystifying higher-order graph neural networks, 2024.

Analysis of Semi-Supervised Learning on Hypergraphs Demystifying higher-order graph neural networks, 2024

Reference 9

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Observation c49c228b-4933-4bb6-a911-238a51b9edf9 · outbound

This paper cites Another look at Sobolev spaces.

Analysis of Semi-Supervised Learning on Hypergraphs Another look at Sobolev spaces

Reference 10

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Observation 8f4d08d0-db46-46df-abcd-1af5f5846f2c · outbound

This paper cites Oxford University Press, 2002.

Analysis of Semi-Supervised Learning on Hypergraphs Oxford University Press, 2002

Reference 11

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Observation 69bec9af-c9d1-4bdf-bd8d-e9415a2df6be · outbound

This paper cites Springer New York, New York, NY , USA, 1 edition, 1995.

Analysis of Semi-Supervised Learning on Hypergraphs Springer New York, New York, NY , USA, 1 edition, 1995

Reference 12

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Observation b3da61c7-188c-4d09-a04a-05b63c89b8f8 · outbound

This paper cites Convergence rates for Poisson learning to a Poisson equation with measure data, 2024.

Analysis of Semi-Supervised Learning on Hypergraphs Convergence rates for Poisson learning to a Poisson equation with measure data, 2024

Reference 13

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Observation b0a373a3-09d0-47f5-83f7-b1439c349e85 · outbound

This paper cites Uniform convergence rates for lipschitz learning on graphs.

Analysis of Semi-Supervised Learning on Hypergraphs Uniform convergence rates for lipschitz learning on graphs

Reference 14

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Observation 3653d72b-7061-47b4-a404-ea8ed66ff717 · outbound

This paper cites The game theoretic p-Laplacian and semi-supervised learning with few labels.Nonlinearity, 32(1):301, 2018.

Analysis of Semi-Supervised Learning on Hypergraphs The game theoretic p-Laplacian and semi-supervised learning with few labels.Nonlinearity, 32(1):301, 2018

Reference 15

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Observation 0960b557-f2b8-4197-a588-43227efc03e7 · outbound

This paper cites Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data.SIAM Journal on Mathematics of Data Science, 1(4):780–812, 2019.

Analysis of Semi-Supervised Learning on Hypergraphs Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data.SIAM Journal on Mathematics of Data Science, 1(4):780–812, 2019

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Observation b38e4311-678f-4178-95b8-afa997f92f0b · outbound

This paper cites Poisson learning: Graph based semi- supervised learning at very low label rates.

Analysis of Semi-Supervised Learning on Hypergraphs Poisson learning: Graph based semi- supervised learning at very low label rates

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Observation 8c806d58-c955-46d2-a95e-9d1939baa1a7 · outbound

This paper cites Improved spectral convergence rates for graph Laplacians on ε-graphs andk−nngraphs.Applied and Computational Harmonic Analysis, 60:123–175, 2022.

Analysis of Semi-Supervised Learning on Hypergraphs Improved spectral convergence rates for graph Laplacians on ε-graphs andk−nngraphs.Applied and Computational Harmonic Analysis, 60:123–175, 2022

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Observation 19f6e304-5907-4889-9dad-f396b845171c · outbound

This paper cites Properly-weighted graph Laplacian for semi-supervised learning.Ap- plied Mathematics & Optimization, 82(3):1111–1159, 2020.

Analysis of Semi-Supervised Learning on Hypergraphs Properly-weighted graph Laplacian for semi-supervised learning.Ap- plied Mathematics & Optimization, 82(3):1111–1159, 2020

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Observation 2584db28-4c87-4007-88f5-11243f0028c1 · outbound

This paper cites Rates of convergence for Laplacian semi-supervised learning with low labeling rates.Research in the Mathematical Sciences, 10(1):10, 2023.

Analysis of Semi-Supervised Learning on Hypergraphs Rates of convergence for Laplacian semi-supervised learning with low labeling rates.Research in the Mathematical Sciences, 10(1):10, 2023

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Observation 18a5410f-a904-4a17-b21f-726718258ba5 · outbound

This paper cites Mumford–Shah functionals on graphs and their asymptotics.Nonlinearity, 33(8):3846–3888, jun 2020.

Analysis of Semi-Supervised Learning on Hypergraphs Mumford–Shah functionals on graphs and their asymptotics.Nonlinearity, 33(8):3846–3888, jun 2020

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Observation 9fa30aff-4cd6-4afa-8797-20d177ec3423 · outbound

This paper cites Dynamic hypergraph convolutional network for no-reference point cloud quality assessment.IEEE Trans.

Analysis of Semi-Supervised Learning on Hypergraphs Dynamic hypergraph convolutional network for no-reference point cloud quality assessment.IEEE Trans

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Observation e82c3ab1-ee1d-411b-87c5-1c6790b7474a · outbound

This paper cites Random walks on hypergraphs with edge-dependent vertex weights.

Analysis of Semi-Supervised Learning on Hypergraphs Random walks on hypergraphs with edge-dependent vertex weights

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Observation 64e70189-0f26-4cfd-b3f6-b2b8d06c9d41 · outbound

This paper cites Coifman and Stéphane Lafon.

Analysis of Semi-Supervised Learning on Hypergraphs Coifman and Stéphane Lafon

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Observation dee17270-c568-449a-9dd3-d0d5a3fe62c0 · outbound

This paper cites Large data limit for a phase transition model with the p- Laplacian on point clouds.European Journal of Applied Mathematics, 31(2):185–231, 2020.

Analysis of Semi-Supervised Learning on Hypergraphs Large data limit for a phase transition model with the p- Laplacian on point clouds.European Journal of Applied Mathematics, 31(2):185–231, 2020

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Observation 4f34e21f-1bd0-4609-bd80-ff66ece1af72 · outbound

This paper cites Large data and zero noise limits of graph-based semi-supervised learning algorithms.Applied and Computational Harmonic Analysis, 49(2):655–697, 2020.

Analysis of Semi-Supervised Learning on Hypergraphs Large data and zero noise limits of graph-based semi-supervised learning algorithms.Applied and Computational Harmonic Analysis, 49(2):655–697, 2020

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Observation 13b821ad-f102-4a40-aca0-0fe9ebc943ff · outbound

This paper cites Wainwright, and Michael I.

Analysis of Semi-Supervised Learning on Hypergraphs Wainwright, and Michael I

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Observation f0f8a7ba-7bf5-41d9-a887-93958f55ee71 · outbound

This paper cites Continuum limit of $p$-Laplacian evolution problems on graphs:$L^q$ graphons and sparse graphs.

Analysis of Semi-Supervised Learning on Hypergraphs Continuum limit of $p$-Laplacian evolution problems on graphs:$L^q$ graphons and sparse graphs

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Observation 03521f97-e8d9-4ef7-b6bf-af27069965d1 · outbound

This paper cites an unresolved cited work.

Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

Reference 29

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Observation 12b169fe-fe89-4997-844a-114bf20d0200 · outbound

This paper cites Hypergraph p-Laplacians, scale spaces, and infor- mation flow in networks.

Analysis of Semi-Supervised Learning on Hypergraphs Hypergraph p-Laplacians, scale spaces, and infor- mation flow in networks

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Observation f6d9ccf1-a72a-4b8a-a7d3-3360df1bac45 · outbound

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Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

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Observation 79ff6b09-65cc-438c-8d03-673de766da55 · outbound

This paper cites Analysis and algorithms forℓ p-based semi-supervised learning on graphs.Applied and Computational Harmonic Analysis, 60:77–122, 2022.

Analysis of Semi-Supervised Learning on Hypergraphs Analysis and algorithms forℓ p-based semi-supervised learning on graphs.Applied and Computational Harmonic Analysis, 60:77–122, 2022

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Observation c7cbdee7-129e-4fa8-a1e7-2daae0fee3a1 · outbound

This paper cites Visual-textual joint relevance learning for tag-based social image search.IEEE Transactions on Image Processing, 22(1):363–376, 2013.

Analysis of Semi-Supervised Learning on Hypergraphs Visual-textual joint relevance learning for tag-based social image search.IEEE Transactions on Image Processing, 22(1):363–376, 2013

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 54051b8b-c36e-437d-be0e-d1993c195f6c · outbound

This paper cites Hypergraph learning: Methods and practices.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5):2548– 2566, 2022.

Analysis of Semi-Supervised Learning on Hypergraphs Hypergraph learning: Methods and practices.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5):2548– 2566, 2022

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Observation 87bffb1c-6bb8-48fb-8aa0-834e3769298b · outbound

This paper cites Error estimates for spectral convergence of the graph Laplacian on random geometric graphs toward the Laplace–Beltrami operator.

Analysis of Semi-Supervised Learning on Hypergraphs Error estimates for spectral convergence of the graph Laplacian on random geometric graphs toward the Laplace–Beltrami operator

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source=pdf_text observed=2026-08-15T15:47:42.668570Z digest=sha256:5beef5bf499bd40952f7dff1660962e99672d7ecea029d5fde69c941e5afe073

Observation aaebd2f5-fec1-4772-a4de-71de1b037bfd · outbound

This paper cites A new analytical approach to consistency and overfitting in regularized empirical risk minimization.European Journal of Applied Mathematics, 28(6):886–921, 2017.

Analysis of Semi-Supervised Learning on Hypergraphs A new analytical approach to consistency and overfitting in regularized empirical risk minimization.European Journal of Applied Mathematics, 28(6):886–921, 2017

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raw_fallback, observed 2026-08-15T15:47:43.760204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.672048Z digest=sha256:eb5f88fb78c97994bf5825b5eb0fa4cd8bbbb9d2f574245d861fbd0d256a0cba

Observation 320526c8-1ab6-467d-a459-531c7060ab9e · outbound

This paper cites From graph cuts to isoperimetric inequali- ties: Convergence rates of Cheeger cuts on data clouds.Archive for Rational Mechanics and Analysis, 244(3):541–598, 2022.

Analysis of Semi-Supervised Learning on Hypergraphs From graph cuts to isoperimetric inequali- ties: Convergence rates of Cheeger cuts on data clouds.Archive for Rational Mechanics and Analysis, 244(3):541–598, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.749526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.675738Z digest=sha256:8597178db2861f4e3fe895f4a86878ce4d59903fc27f515cc9800650cd9a8859

Observation a0253270-6d1b-4a4f-b3ee-d107f144438a · outbound

This paper cites Rates of convergence for regression with the graph poly-Laplacian.Sampling Theory, Signal Processing, and Data Analysis, 21(2):35, 2023.

Analysis of Semi-Supervised Learning on Hypergraphs Rates of convergence for regression with the graph poly-Laplacian.Sampling Theory, Signal Processing, and Data Analysis, 21(2):35, 2023

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.738324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.680548Z digest=sha256:aacfdf70d77cb6cfd59bf8be0e2780d466cebf0046a402c6cdd426d00a54ce57

Observation a67030e3-4843-49da-a509-d37825f454cf · outbound

This paper cites Continuum limit of total variation on point clouds.Archive for Rational Mechanics and Analysis, 220(1):193–241, 2016.

Analysis of Semi-Supervised Learning on Hypergraphs Continuum limit of total variation on point clouds.Archive for Rational Mechanics and Analysis, 220(1):193–241, 2016

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.727269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.684797Z digest=sha256:b4de296d195b7d12900b52c168c4221bdc9bb3c338b9347d2714019ca6bd4fc7

Observation 6a56472a-5b17-40ae-b7d8-95870aeb409b · outbound

This paper cites A variational approach to the consistency of spectral cluster- ing.Applied and Computational Harmonic Analysis, 45(2):239–281, 2018.

Analysis of Semi-Supervised Learning on Hypergraphs A variational approach to the consistency of spectral cluster- ing.Applied and Computational Harmonic Analysis, 45(2):239–281, 2018

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.715357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.689391Z digest=sha256:100d1bd277dbb1c3e6105334931efc612093ccb75e1c52ecb2f1a307d246a01b

Observation 5abf0cbb-5626-4be3-b2a7-a970f2e8ea3f · outbound

This paper cites Estimating perimeter using graph cuts.

Analysis of Semi-Supervised Learning on Hypergraphs Estimating perimeter using graph cuts

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.702933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.693295Z digest=sha256:267b5104385970469d3b63864d6c9e455baccb40a5b50b16ce8565588667b09a

Observation eb84dff4-2e76-46f0-8a41-3c37d6c18b6c · outbound

This paper cites Con- sistency of Cheeger and ratio graph cuts.Journal of Machine Learning Research, 17(181):1–46, 2016.

Analysis of Semi-Supervised Learning on Hypergraphs Con- sistency of Cheeger and ratio graph cuts.Journal of Machine Learning Research, 17(181):1–46, 2016

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.691195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.697387Z digest=sha256:275333d4540413e0c6bc40d4ac48e6a00444037d21a9d0e5aa01f616de36af32

Observation 614dc041-b37b-4ef3-b3e6-77e0be77d9f3 · outbound

This paper cites On the rate of convergence of empirical measures in∞- transportation distance.Canadian Journal of Mathematics, 67(6):1358–1383, 2015.

Analysis of Semi-Supervised Learning on Hypergraphs On the rate of convergence of empirical measures in∞- transportation distance.Canadian Journal of Mathematics, 67(6):1358–1383, 2015

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.680095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.701835Z digest=sha256:0f1d66ca76ebb270c7e52275916d77b04f380eb26ad8ac6d9fba0bbab882506f

Observation 00b99f36-7c5b-4d9a-a69d-2830e0d52b1c · outbound

This paper cites Diffusion improves graph learning.

Analysis of Semi-Supervised Learning on Hypergraphs Diffusion improves graph learning

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.669647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.705750Z digest=sha256:37e23ec733c28d66787fb787ee87b49d81325a6f4e0f13231e5bc8ad1368595e

Observation 938a3a34-10ea-445f-b043-95022ff03ba6 · outbound

This paper cites Consistency of spectral partitioning of uniform hypergraphs under planted partition model.

Analysis of Semi-Supervised Learning on Hypergraphs Consistency of spectral partitioning of uniform hypergraphs under planted partition model

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.657164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.709592Z digest=sha256:87c8e36f80dceda11c60ce1aff019298e4873d8194a00690e579c4c3752b1fd4

Observation 9e6a6239-b8f3-4c90-8c9d-5af0a1084f90 · outbound

This paper cites Consistency of spectral hypergraph partitioning under planted partition model.The Annals of Statistics, 45(1):289–315, 2017.

Analysis of Semi-Supervised Learning on Hypergraphs Consistency of spectral hypergraph partitioning under planted partition model.The Annals of Statistics, 45(1):289–315, 2017

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.713185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.713185Z digest=sha256:51a2fa52ea94bcf48882f1bcc1526110e490e1916d1fbad38bfa910247ad8f0b

Observation d37d2741-24e4-498d-955b-092e6a0e3f8a · outbound

This paper cites Institute of Mathematical Statistics, 2006.

Analysis of Semi-Supervised Learning on Hypergraphs Institute of Mathematical Statistics, 2006

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.639210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.716645Z digest=sha256:cd920cd44a0ffb53e57bca1f8fad63ac5ea74d06b42f783fa35c2bbe985ac4ee

Observation 248993d9-fc8d-421a-9a3a-eac02431deeb · outbound

This paper cites Monotone properties of random geometric graphs have sharp thresholds.The Annals of Applied Probability, 15:2535–2552, 2005.

Analysis of Semi-Supervised Learning on Hypergraphs Monotone properties of random geometric graphs have sharp thresholds.The Annals of Applied Probability, 15:2535–2552, 2005

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.627437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.720216Z digest=sha256:effe2793ab96daee7d7201a4df672cfafc0e2c2ff8115b2b08be4e88caee4147

Observation 7868be8a-87c9-427e-be1a-07dc9d60b606 · outbound

This paper cites Uniform convergence of adaptive graph-based regularization.

Analysis of Semi-Supervised Learning on Hypergraphs Uniform convergence of adaptive graph-based regularization

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.615778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.723663Z digest=sha256:4ba80379a7ea73eb372f87b2eb6c7697bac54f4286ce2c18a966f6c358e9cec8

Observation 9262c1ef-04e2-4634-9b91-5a4c68da5974 · outbound

This paper cites Graph Laplacians and their convergence on random neighborhood graphs.Journal of Machine Learning Research, 8(6), 2007.

Analysis of Semi-Supervised Learning on Hypergraphs Graph Laplacians and their convergence on random neighborhood graphs.Journal of Machine Learning Research, 8(6), 2007

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Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.727066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.727066Z digest=sha256:601621200ada3d0347aa0a242448a67435f7cdc7b74fb7acfc313ffe2df37344

Observation ae0f1aa6-fad2-4053-9bce-7c9598b80e44 · outbound

This paper cites From graphs to manifolds – weak and strong pointwise consistency of graph Laplacians.

Analysis of Semi-Supervised Learning on Hypergraphs From graphs to manifolds – weak and strong pointwise consistency of graph Laplacians

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.598228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.730843Z digest=sha256:ea71d531cc9ce0e4477f05c1e6b566138bca2930ecbc0e226536af95d1233a5a

Observation ddafe08a-071d-48ab-b3a5-8b36f64d165d · outbound

This paper cites The total variation on hypergraphs - learning on hypergraphs revisited.

Analysis of Semi-Supervised Learning on Hypergraphs The total variation on hypergraphs - learning on hypergraphs revisited

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.587004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.734212Z digest=sha256:347ad33246a75edc9a9386bd1950c4d041e82637ee8030938a5ae09e5c79a34d

Observation b6bf8a62-f37e-41eb-ab0c-52ade4d5d373 · outbound

This paper cites Hypergraph Laplace operators for chemical reaction networks.Ad- vances in Mathematics, 351:870–896, 2019.

Analysis of Semi-Supervised Learning on Hypergraphs Hypergraph Laplace operators for chemical reaction networks.Ad- vances in Mathematics, 351:870–896, 2019

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.568426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.742489Z digest=sha256:fa0fed48ab617c778abea2555bc895fc3b81d05c82db6848ef1782e806a9eaea

Observation 4dbc2d18-d47c-4180-8af7-a1586dea1480 · outbound

This paper cites p-Laplace operators for oriented hypergraphs.Vietnam Journal of Mathematics, 50(2):323–358, 2022.

Analysis of Semi-Supervised Learning on Hypergraphs p-Laplace operators for oriented hypergraphs.Vietnam Journal of Mathematics, 50(2):323–358, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.556576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.746565Z digest=sha256:8aec82f1f5514e55fc62c2cd28fd449329a72307c844a5653bb5538342e7dc1e

Observation 0fa17f07-0555-471b-a7fe-6ccd9a81ab85 · outbound

This paper cites A survey of data-efficient graph learning.

Analysis of Semi-Supervised Learning on Hypergraphs A survey of data-efficient graph learning

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.543657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.750332Z digest=sha256:a562549f76092d225869a2c3a62202055e66c98342a32e2cfeafb9daa9eb1904

Observation 5871fb97-92d8-416f-980d-f14b879e1289 · outbound

This paper cites Semi-Supervised Learning via Sparse Label Propagation.

Analysis of Semi-Supervised Learning on Hypergraphs Semi-Supervised Learning via Sparse Label Propagation

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Resolution
verified exact
local_arxiv, observed 2026-08-15T15:47:43.018721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.754943Z digest=sha256:64e5de5bfbefbcafaec87ad5fd9ceff71405f3ea8e4eb274dbfffa1178bffa50

Observation 98ed9644-8c79-4370-a325-0ccd90c338e4 · outbound

This paper cites Balakrishnan, and Norman L.

Analysis of Semi-Supervised Learning on Hypergraphs Balakrishnan, and Norman L

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.532209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.759014Z digest=sha256:2a35de316b5da40b91e0e32829127161ed6def2133a3fdaf8a9e9352edc5654b

Observation d807347d-9ddb-4e27-acb7-df06119d954e · outbound

This paper cites Spielman.

Analysis of Semi-Supervised Learning on Hypergraphs Spielman

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.520544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.763006Z digest=sha256:cfadbd74689c2f619cc04dbfda935ddd4be9c55fb0e7f1df95685ad017acc1db

Observation a4c86811-8de8-4e7a-9969-5a030d838b5f · outbound

This paper cites Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998.

Analysis of Semi-Supervised Learning on Hypergraphs Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998

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Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.766926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.766926Z digest=sha256:b1a138609125d0d070793a4f53f2a83d95f27ebddb4f275804c05fb4b6829947

Observation 3884c121-bfe6-4477-879e-71af87998830 · outbound

This paper cites Lee.Introduction to Smooth Manifolds, volume 218 ofGraduate Texts in Mathematics.

Analysis of Semi-Supervised Learning on Hypergraphs Lee.Introduction to Smooth Manifolds, volume 218 ofGraduate Texts in Mathematics

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.501534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.770573Z digest=sha256:bee2f6bff8d3d06682cce2ff9e8a64ca7a33087341d4a9c02750e64190b7ff98

Observation 399ec832-0e3e-4be8-88d3-1de85349ace3 · outbound

This paper cites Graduate studies in mathematics.

Analysis of Semi-Supervised Learning on Hypergraphs Graduate studies in mathematics

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.489803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.774192Z digest=sha256:4354dd7f86ebbafa7b968c9237bbdb7969227576c7cc91cbdb2a4cd3c280d0c4

Observation e33261a7-4241-4497-88c1-ef5f84222473 · outbound

This paper cites Submodular hypergraphs: p-Laplacians, Cheeger inequalities and spec- tral clustering.

Analysis of Semi-Supervised Learning on Hypergraphs Submodular hypergraphs: p-Laplacians, Cheeger inequalities and spec- tral clustering

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.478713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.778676Z digest=sha256:75a54bd9610bbd15c1e95c2a8ad747e76ec39682005dd799d4fb34595e24f12d

Observation 16b64af8-c37d-4b89-b49e-24f315b20d80 · outbound

This paper cites A random matrix analysis and improvement of semi-supervised learning for large dimen- sional data.Journal of Machine Learning Research, 19(79):1–27, 2018.

Analysis of Semi-Supervised Learning on Hypergraphs A random matrix analysis and improvement of semi-supervised learning for large dimen- sional data.Journal of Machine Learning Research, 19(79):1–27, 2018

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.467189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.782448Z digest=sha256:ba2041f36eaf93f13cd56170481871274f4cd31c2b2b7a7b75db42109ab29914

Observation cae27c0a-2033-4e0b-91d1-c462d926935e · outbound

This paper cites On the method of bounded differences.

Analysis of Semi-Supervised Learning on Hypergraphs On the method of bounded differences

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.455725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.786097Z digest=sha256:96ade6f40a93f1d2b491bcd8c6e0f1ba2051cdbd1f5ac871122cdcc9ec8467f6

Observation 28e35194-20fb-4b28-ac42-954954c07fb5 · outbound

This paper cites Multiscale Laplacian learning.Applied Intelligence, 53(12):15727–15746, nov 2022.

Analysis of Semi-Supervised Learning on Hypergraphs Multiscale Laplacian learning.Applied Intelligence, 53(12):15727–15746, nov 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.444562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.789582Z digest=sha256:c2d43d4afcd752ef33c4c46cf178fffae6f23a68178ad13686a1556449b415ce

Observation 86adcb23-1fd2-4dc4-ba01-5b79f8d75393 · outbound

This paper cites Bronstein.

Analysis of Semi-Supervised Learning on Hypergraphs Bronstein

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.432979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.793398Z digest=sha256:8a062bef73c3381d89cd6115464326d60eb4a19c3ebf76b353264f573ec5a873

Observation fb034028-352e-4ce7-b96b-b086ddea79d2 · outbound

This paper cites Random walks and Laplacians on hypergraphs: When do they match?Discrete Applied Mathematics, 317:26–41, 2022.

Analysis of Semi-Supervised Learning on Hypergraphs Random walks and Laplacians on hypergraphs: When do they match?Discrete Applied Mathematics, 317:26–41, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.420704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.796834Z digest=sha256:998715ed83250d8151eb2139f7a5d240b67e0d6ededbd29ed027e28272916f01

Observation 3fbb1407-d5ce-43b0-94e8-a875ba11c200 · outbound

This paper cites Semi-supervised learning with the graph Laplacian: The limit of infinite unlabelled data.

Analysis of Semi-Supervised Learning on Hypergraphs Semi-supervised learning with the graph Laplacian: The limit of infinite unlabelled data

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.409357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.801401Z digest=sha256:cebc997507e0147e5fff30569cd409e9fc48ce119c25c04667ff89909f908eb1

Observation 98521e92-f453-4c03-9a6c-fb26486d53a8 · outbound

This paper cites an unresolved cited work.

Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

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Resolution
unresolved
raw_fallback, observed 2026-08-15T15:47:43.398428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.804910Z digest=sha256:ae3cf527f08cf7fb951e7978e2a5139eed32839de6b05e3e01718732efa07168

Observation 63c1fb1a-554c-4c98-aa68-829d771e6d02 · outbound

This paper cites Consistency of Dirichlet partitions.SIAM Journal on Mathemat- ical Analysis, 49(5):4251–4274, 2017.

Analysis of Semi-Supervised Learning on Hypergraphs Consistency of Dirichlet partitions.SIAM Journal on Mathemat- ical Analysis, 49(5):4251–4274, 2017

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.388225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.808684Z digest=sha256:60e0969e860da684215e9ded89865c65ea204c77cbc874099e41e5b1d2f3916f

Observation 8998ff55-e7ae-4acb-a429-91b6dcfef260 · outbound

This paper cites Operator norm convergence of spectral clustering on level sets.Journal of Machine Learning Research, 12(12):385–416, 2011.

Analysis of Semi-Supervised Learning on Hypergraphs Operator norm convergence of spectral clustering on level sets.Journal of Machine Learning Research, 12(12):385–416, 2011

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verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.378206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.812166Z digest=sha256:271654c33a744074ff500b70b1a83ae43638c1f8d8587e2673dadf401fa1e284

Observation 37676766-f27b-4ec5-b57f-6a559198d741 · outbound

This paper cites Penrose.Random Geometric Graphs.

Analysis of Semi-Supervised Learning on Hypergraphs Penrose.Random Geometric Graphs

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.367420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.815513Z digest=sha256:610512a5bd6646b96fd82f10b236d6b8f671457d88ed29cb092467768a421048

Observation 3ecf16a3-d6f5-4e39-ab4e-072a168830e2 · outbound

This paper cites Multi-task hypergraphs for semi-supervised learning using earth observations.

Analysis of Semi-Supervised Learning on Hypergraphs Multi-task hypergraphs for semi-supervised learning using earth observations

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.357411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.819048Z digest=sha256:0b6754cf51c280771b184e7a0225e01634b88abf78cff61b44fd63eeaf8609fe

Observation 0bc66c77-36a9-4f5d-8837-a667f876cd06 · outbound

This paper cites an unresolved cited work.

Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:47:43.346686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.822579Z digest=sha256:87303563680d467d61610cfeff35ce601b10134ba19f6aacfca3d5b23a142f23

Observation 74edd411-ee94-4fa6-94be-6cca4cefbf50 · outbound

This paper cites Continuum limit of Lipschitz learning on graphs.Foundations of Com- putational Mathematics, pages 1–39, 2022.

Analysis of Semi-Supervised Learning on Hypergraphs Continuum limit of Lipschitz learning on graphs.Foundations of Com- putational Mathematics, pages 1–39, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.336026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.826052Z digest=sha256:17d8eff62ab1f0f25e1239f4c3c442350c5bb5498e28d707b56eebaf18a30c30

Observation 8a6b3e6c-fd54-4739-9bb1-c92283fe62b5 · outbound

This paper cites Hypergraph p-Laplacian: a differential geometry view.

Analysis of Semi-Supervised Learning on Hypergraphs Hypergraph p-Laplacian: a differential geometry view

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.324898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.829847Z digest=sha256:72559665a6b1609541d0f9a6fbd32d15c503cf8955a73d0ceb228e56337adba8

Observation 7562e5be-6aef-4ff9-8571-e059bf94b437 · outbound

This paper cites Birkhäuser Basel, 2015.

Analysis of Semi-Supervised Learning on Hypergraphs Birkhäuser Basel, 2015

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.313494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.833721Z digest=sha256:ec8769fd3fb76c9c2eaca57c88f5f604fe1463a03f9943b307c9f69f7fe341a1

Observation 087677d4-f258-47ee-9ccc-d0681b815b56 · outbound

This paper cites Hypergraphp-Laplacian equations for data interpolation and semi- supervised learning.Journal of Scientific Computing, 103(3):93, 2025.

Analysis of Semi-Supervised Learning on Hypergraphs Hypergraphp-Laplacian equations for data interpolation and semi- supervised learning.Journal of Scientific Computing, 103(3):93, 2025

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.301206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.838453Z digest=sha256:59095f333ba7e848ec344f0264930172352d7571ecf42c92f360fdaf6cf762ec

Observation 276fc768-7fc8-48d2-8802-0a65ad7ff64c · outbound

This paper cites Weighted nonlocal Laplacian on interpolation from sparse data.Journal of Scientific Computing, 73(2):1164–1177, 2017.

Analysis of Semi-Supervised Learning on Hypergraphs Weighted nonlocal Laplacian on interpolation from sparse data.Journal of Scientific Computing, 73(2):1164–1177, 2017

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.290097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.842442Z digest=sha256:046176c097314238f1b383f75a96fb4ead4d591eb72bfe9df833fa5a36024230

Observation 4e77817b-ce34-4824-a3db-4356d431986c · outbound

This paper cites Generalization of the weighted nonlocal Laplacian in low dimensional manifold model.Journal of Scientific Computing, 75(2):638–656, 2018.

Analysis of Semi-Supervised Learning on Hypergraphs Generalization of the weighted nonlocal Laplacian in low dimensional manifold model.Journal of Scientific Computing, 75(2):638–656, 2018

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.278847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.846748Z digest=sha256:418dfaae3c3bf657c970bef977035774e6fb23b4c29e5f061302446d3c303f53

Observation 94d8454f-95d6-4702-81d9-f46589a93515 · outbound

This paper cites Error estimation of weighted nonlocal Laplacian on random point cloud.

Analysis of Semi-Supervised Learning on Hypergraphs Error estimation of weighted nonlocal Laplacian on random point cloud

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.850447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.850447Z digest=sha256:cbdebf9406885a6579d733fd00ee41f334e68f8a7ecab237e2db2ffe6dddfcfe

Observation 55f88f41-a474-4690-9861-d278f90e4330 · outbound

This paper cites From graph to manifold Laplacian: The convergence rate.Applied and Computational Harmonic Analysis, 21:128–134, 2006.

Analysis of Semi-Supervised Learning on Hypergraphs From graph to manifold Laplacian: The convergence rate.Applied and Computational Harmonic Analysis, 21:128–134, 2006

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.268137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.854844Z digest=sha256:192b31beed6b3f8626d45b7f3a513f3db4376404b5ea767645a85bef027c87cb

Observation 8e702a16-34a8-45bb-bce6-5852a7e8ed5c · outbound

This paper cites Spectral convergence of the connection Laplacian from random sam- ples.Information and Inference: A Journal of the IMA, 6(1):58–123, 12 2016.

Analysis of Semi-Supervised Learning on Hypergraphs Spectral convergence of the connection Laplacian from random sam- ples.Information and Inference: A Journal of the IMA, 6(1):58–123, 12 2016

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.257718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.858761Z digest=sha256:d39166b056bf99d81018abe725b13c1f49596558bb2d72e99b026b5a487a7e8c

Observation 32164272-d758-4c12-ab51-f2cb3c18fbc7 · outbound

This paper cites Analysis ofp-Laplacian regularization in semisupervised learning.

Analysis of Semi-Supervised Learning on Hypergraphs Analysis ofp-Laplacian regularization in semisupervised learning

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.246374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.862844Z digest=sha256:0a2c27481b2e293a41f58be93e4210b54788b5b4f3dfe476fccdb9d59bc59a04

Observation 2fee5125-a856-401a-8335-2e7ad7da22ea · outbound

This paper cites Asymptotic analysis of the Ginzburg–Landau functional on point clouds.Proceedings of the Royal Society of Edinburgh: Section A Mathematics, 149(2):387–427, 2019.

Analysis of Semi-Supervised Learning on Hypergraphs Asymptotic analysis of the Ginzburg–Landau functional on point clouds.Proceedings of the Royal Society of Edinburgh: Section A Mathematics, 149(2):387–427, 2019

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.234863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.867244Z digest=sha256:574645e28c85e172d457834d715363bd28ac8e7cfc115ecf11c4217552090011

Observation f366931e-a87c-4a05-8b3f-984b526f606c · outbound

This paper cites an unresolved cited work.

Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:47:43.223379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.871025Z digest=sha256:97b134c6f494c14bbd2d0b7f254cbe45b9061b891cec63081b635496d6540cd5

Observation cf49ed71-2d2a-48c2-99c1-de329cf4d660 · outbound

This paper cites Gamma-convergence of graph Ginzburg–Landau functionals.

Analysis of Semi-Supervised Learning on Hypergraphs Gamma-convergence of graph Ginzburg–Landau functionals

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.211742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.874662Z digest=sha256:c4299e616619bea30314e379203bcc110ede9446cbe4267509d4d2f017d5d447

Observation 6775da43-8311-4381-b9d3-1088e986ba58 · outbound

This paper cites Springer-Verlag Berlin Heidelberg, 2009.

Analysis of Semi-Supervised Learning on Hypergraphs Springer-Verlag Berlin Heidelberg, 2009

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.200237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.879029Z digest=sha256:9d3daa5284576ae6ef2ab55d75023704b78569af0c121d306100f13042fc1d0d

Observation 71f1c8c6-ac65-45cd-ac5a-24513b17d6e5 · outbound

This paper cites A tutorial on spectral clustering.Statistics and Computing, 2007.

Analysis of Semi-Supervised Learning on Hypergraphs A tutorial on spectral clustering.Statistics and Computing, 2007

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.186881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.883265Z digest=sha256:545247b4dd7b206be1e2a828db21999321c599dd934557fa9f7a67d51009d75c

Observation 6056a296-10d8-4b7e-b166-ced987a9b5b4 · outbound

This paper cites Consistency of spectral clustering.The Annals of Statistics, 36(2):555–586, 2008.

Analysis of Semi-Supervised Learning on Hypergraphs Consistency of spectral clustering.The Annals of Statistics, 36(2):555–586, 2008

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verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.174245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.888226Z digest=sha256:c0f1aa287236e531d2fb53c3f184947d70ec3a18589106bee3c406360fd1b043

Observation 570eb041-5db3-491b-8268-a4e425c0853e · outbound

This paper cites Spectral Convergence Rate of Graph Laplacian.

Analysis of Semi-Supervised Learning on Hypergraphs Spectral Convergence Rate of Graph Laplacian

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.892099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.892099Z digest=sha256:cde5a53c8d3e59c89d40d73bf682be1c23a4da33ea4cac6f7389999c32a17d02

Observation 35744390-d6ce-4c76-8edc-d13fd1e8fe3d · outbound

This paper cites Higher-order regularization learning on hyper- graphs, 2025.

Analysis of Semi-Supervised Learning on Hypergraphs Higher-order regularization learning on hyper- graphs, 2025

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.163051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.896349Z digest=sha256:67ae1a3aaf48cdc6b224bbdaab33689b759cbff5aa8f878f4b0ab409a1adbc82

Observation e34ffcd1-221f-4054-817a-d306a17ffbf4 · outbound

This paper cites Discrete-to-continuum rates of convergence for non- local p-Laplacian evolution problems.Information and Inference: A Journal of the IMA, 13(4):iaae031, 11 2024.

Analysis of Semi-Supervised Learning on Hypergraphs Discrete-to-continuum rates of convergence for non- local p-Laplacian evolution problems.Information and Inference: A Journal of the IMA, 13(4):iaae031, 11 2024

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.152006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.901131Z digest=sha256:797c958177f2c577fe06edf053737c3b7ab39558edc5d672e8cf6cd7a37c5560

Observation 7ebb504f-4b4a-4377-8346-a19736244458 · outbound

This paper cites Consistency of fractional graph-Laplacian regularization in semisu- pervised learning with finite labels.SIAM Journal on Mathematical Analysis, 56(4):4253–4295, 2024.

Analysis of Semi-Supervised Learning on Hypergraphs Consistency of fractional graph-Laplacian regularization in semisu- pervised learning with finite labels.SIAM Journal on Mathematical Analysis, 56(4):4253–4295, 2024

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.140602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.905691Z digest=sha256:a14a38702f6d8adf2c5af00f14213fcefd82201e1ef031f321e28c90b0abe349

Observation 7c5fa7a2-4c5d-496e-9f51-fa358cf939a1 · outbound

This paper cites Graph learning: A survey.IEEE Transactions on Artificial Intelligence, 2(2):109–127, 2021.

Analysis of Semi-Supervised Learning on Hypergraphs Graph learning: A survey.IEEE Transactions on Artificial Intelligence, 2(2):109–127, 2021

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Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.909489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.909489Z digest=sha256:a7077df617c2f9884653385e6f04e8a0e5f66f77b8142f2c6f20b000b31bdee2

Observation 1b3c0841-dff0-4fa8-a7e3-103562985d44 · outbound

This paper cites Semi-supervised hypergraph node classification on hypergraph line expansion.

Analysis of Semi-Supervised Learning on Hypergraphs Semi-supervised hypergraph node classification on hypergraph line expansion

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.121958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.913648Z digest=sha256:22355ccc1b52abc6430adc6a0cc2f5c16e1005f13fba22ffa639a82de9054f24

Observation 595ff13b-68b3-4875-9040-d98aab11862f · outbound

This paper cites an unresolved cited work.

Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:47:43.110721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.917954Z digest=sha256:ecbe9308ec3361d7839e9efd0ec524e395b7ddddb80452e74ee8f87f2b49fd6f

Observation 5d1a387f-2b44-485c-9dce-187cf22bee54 · outbound

This paper cites Dynamic hypergraph structure learning.

Analysis of Semi-Supervised Learning on Hypergraphs Dynamic hypergraph structure learning

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.099458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.922444Z digest=sha256:3bc1b08d6552f15a61239bfbb3691700efb83941aa27c19ee70d54bdef5d139c

Observation 2026b506-1d74-4052-ad4a-e37e58a204ad · outbound

This paper cites Semi-supervised learning on directed graphs.

Analysis of Semi-Supervised Learning on Hypergraphs Semi-supervised learning on directed graphs

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:47:43.088455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:47:42.926679Z digest=sha256:f5e7f733a0a2d4e77c2a893b7b8f7a45c11247f7bb055c6f80462a6c7a0242ff

Observation 7e9a592e-2cca-488b-be18-015e36ec6035 · outbound

This paper cites Learning with hypergraphs: Clustering, classification, and embedding.

Analysis of Semi-Supervised Learning on Hypergraphs Learning with hypergraphs: Clustering, classification, and embedding

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.930411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.930411Z digest=sha256:31b963b73681205e4c3688b67c6bd9d991d9850198319e24e676598853d7d8df

Pith citing papers

Observation cdfd6a9c-568a-4cf2-a50b-f6a5ab09b8bc · inbound

Hidden critical and Morse equivalence behind duality: Theory and Applications cites this paper.

Hidden critical and Morse equivalence behind duality: Theory and Applications Analysis of Semi-Supervised Learning on Hypergraphs

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-07-20T02:18:21.174054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T02:34:45.089487Z digest=sha256:e565cf77893c6a93634b3c097a88803503377dcc6e60d72078693c97efd21c4f