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Graph-based Semi-Supervised & Active Learning for Edge Flows

Graph-based Semi-Supervised & Active Learning for Edge Flows

17 May 2019
Junteng Jia
Michael T. Schaub
Santiago Segarra
Austin R. Benson
ArXiv (abs)PDFHTML

Papers citing "Graph-based Semi-Supervised & Active Learning for Edge Flows"

5 / 5 papers shown
Title
Algorithms for Lipschitz Learning on Graphs
Algorithms for Lipschitz Learning on Graphs
Rasmus Kyng
Anup B. Rao
Sushant Sachdeva
D. Spielman
54
78
0
01 May 2015
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Akshay Gadde
Aamir Anis
Antonio Ortega
57
157
0
16 May 2014
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
133
3,976
0
31 Oct 2012
Active Semi-Supervised Learning using Submodular Functions
Active Semi-Supervised Learning using Submodular Functions
Andrew Guillory
J. Bilmes
OffRL
82
42
0
14 Feb 2012
Statistical ranking and combinatorial Hodge theory
Statistical ranking and combinatorial Hodge theory
Xiaoye Jiang
Lek-Heng Lim
Yuan Yao
Yinyu Ye
109
372
0
07 Nov 2008
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