Analysis of Semi-Supervised Learning on Hypergraphs | Paper Citation Record

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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

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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

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This paper cites Higher order learning with graphs.

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

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This paper cites Optical Recognition of Handwritten Digits.

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

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This paper cites Using manifold structure for partially labelled classification.

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

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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

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This paper cites Convergence of Laplacian eigenmaps.

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

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This paper cites Bertozzi and Arjuna Flenner.

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

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

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

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This paper cites Another look at Sobolev spaces.

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

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This paper cites Oxford University Press, 2002.

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

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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

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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

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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

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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

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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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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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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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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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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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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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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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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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This paper cites Coifman and Stéphane Lafon.

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

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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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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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This paper cites Wainwright, and Michael I.

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

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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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Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

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

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Analysis of Semi-Supervised Learning on Hypergraphs Unresolved cited work

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

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

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

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

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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

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

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

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

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

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

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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 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

This paper cites Spielman.

Analysis of Semi-Supervised Learning on Hypergraphs Spielman

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

This paper cites Bronstein.

Analysis of Semi-Supervised Learning on Hypergraphs Bronstein

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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

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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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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