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Jeff Calder — most-cited papers & profile · Graph Learning
← authors
·
overview
Jeff Calder
12
papers ·
0
citations ·
20
h-index
University of Minnesota System
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Energy Approach from $ǎrepsilon$-Graph to Continuum Diffusion Model with Connectivity Functional
2025
Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data
2017
The game theoretic p-Laplacian and semi-supervised learning with few labels
2017
Analysis and algorithms for $\ell_p$-based semi-supervised learning on graphs
2019
A continuum limit for the PageRank algorithm
2020
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates
2020
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
2020
Uniform Convergence Rates for Lipschitz Learning on Graphs
2021
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth
2022
Graph-based Active Learning for Semi-supervised Classification of SAR Data
2022
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian
2024
GLL: A Differentiable Graph Learning Layer for Neural Networks
2024
Top co-authors
Andrea L. Bertozzi
· 2
Amber Yuan
· 1
Bohan Chen
· 1
Braxton Osting
· 1
Brendan Cook
· 1
Dejan Slepcev
· 1
Dejan Slep\v{c}ev and Matthew Thorpe
· 1
Gilad Lerman
· 1
Harris Hardiman-Mostow
· 1
Jason Brown
· 1
Jason Setiadi
· 1
John Mauro
· 1
Topics
cs.LG
math.NA
cs.NA
Uncategorized
math.AP
stat.ML
cs.CV
Knowledge Graphs
cs.AI
eess.IV