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A continuum limit for the PageRank algorithm
v1v2v3 (latest)

A continuum limit for the PageRank algorithm

European journal of applied mathematics (EJAM), 2020
24 January 2020
Amber Yuan
Jeff Calder
Braxton Osting
ArXiv (abs)PDFHTML

Papers citing "A continuum limit for the PageRank algorithm"

9 / 9 papers shown
Hamilton-Jacobi equations on graphs with applications to semi-supervised
  learning and data depth
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depthJournal of machine learning research (JMLR), 2022
Jeff Calder
Mahmood Ettehad
339
20
0
17 Feb 2022
Uniform Convergence Rates for Lipschitz Learning on Graphs
Uniform Convergence Rates for Lipschitz Learning on Graphs
Leon Bungert
Jeff Calder
Tim Roith
403
28
0
24 Nov 2021
Boundary Estimation from Point Clouds: Algorithms, Guarantees and
  Applications
Boundary Estimation from Point Clouds: Algorithms, Guarantees and ApplicationsJournal of Scientific Computing (J. Sci. Comput.), 2021
Jeff Calder
Sangmin Park
D. Slepčev
3DPC
354
11
0
05 Nov 2021
Consistency of archetypal analysis
Consistency of archetypal analysis
Braxton Osting
Dong Wang
Yiming Xu
Dominique Zosso
419
5
0
16 Oct 2020
Lipschitz regularity of graph Laplacians on random data clouds
Lipschitz regularity of graph Laplacians on random data cloudsSIAM Journal on Mathematical Analysis (SIAM J. Math. Anal.), 2020
Jeff Calder
Nicolas García Trillos
M. Lewicka
424
39
0
13 Jul 2020
A metric on directed graphs and Markov chains based on hitting
  probabilities
A metric on directed graphs and Markov chains based on hitting probabilities
Z. Boyd
Nicolas Fraiman
J. Marzuola
P. Mucha
Braxton Osting
Jonathan Weare
429
9
0
25 Jun 2020
Rates of Convergence for Laplacian Semi-Supervised Learning with Low
  Labeling Rates
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates
Jeff Calder
D. Slepčev
Matthew Thorpe
260
35
0
04 Jun 2020
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High
  Dimensions
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High Dimensions
Yuan Gao
Jiang Liu
Nan Wu
490
14
0
22 May 2020
Improved spectral convergence rates for graph Laplacians on
  epsilon-graphs and k-NN graphs
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs
Jeff Calder
Nicolas García Trillos
395
41
0
29 Oct 2019
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