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Learning Resolution Parameters for Graph Clustering

Learning Resolution Parameters for Graph Clustering

12 March 2019
Nate Veldt
D. Gleich
Anthony Wirth
ArXiv (abs)PDFHTML

Papers citing "Learning Resolution Parameters for Graph Clustering"

4 / 4 papers shown
Title
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes,
  and Influence
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence
S. Tardelli
Leonardo Nizzoli
Maurizio Tesconi
Mauro Conti
Preslav Nakov
Giovanni Da San Martino
S. Cresci
46
25
0
17 Jan 2023
The Generalized Mean Densest Subgraph Problem
The Generalized Mean Densest Subgraph Problem
Nate Veldt
Austin R. Benson
Jon M. Kleinberg
38
30
0
02 Jun 2021
Strongly local p-norm-cut algorithms for semi-supervised learning and
  local graph clustering
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Meng Liu
D. Gleich
53
13
0
15 Jun 2020
Flow-based Algorithms for Improving Clusters: A Unifying Framework,
  Software, and Performance
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance
Kimon Fountoulakis
M. Liu
D. Gleich
Michael W. Mahoney
65
11
0
20 Apr 2020
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