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Spectral Clustering for Divide-and-Conquer Graph Matching

Spectral Clustering for Divide-and-Conquer Graph Matching

4 October 2013
V. Lyzinski
D. Sussman
D. E. Fishkind
H. Pao
Li-Wei Chen
Joshua T. Vogelstein
Youngser Park
Carey E. Priebe
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Papers citing "Spectral Clustering for Divide-and-Conquer Graph Matching"

11 / 11 papers shown
Title
Detection of Model-based Planted Pseudo-cliques in Random Dot Product
  Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Tong Qi
V. Lyzinski
13
0
0
18 Dec 2023
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Maximilian Krahn
Florian Bernard
Vladislav Golyanik
13
1
0
21 Oct 2021
Learning to Match Features with Seeded Graph Matching Network
Learning to Match Features with Seeded Graph Matching Network
Hongkai Chen
Zixin Luo
Jiahui Zhang
Lei Zhou
Xuyang Bai
Zeyu Hu
Chiew-Lan Tai
Long Quan
17
111
0
19 Aug 2021
clusterNOR: A NUMA-Optimized Clustering Framework
clusterNOR: A NUMA-Optimized Clustering Framework
Disa Mhembere
Da Zheng
Carey E. Priebe
Joshua T. Vogelstein
Randal C. Burns
FedML
25
3
0
24 Feb 2019
Matched Filters for Noisy Induced Subgraph Detection
Matched Filters for Noisy Induced Subgraph Detection
D. Sussman
Youngser Park
Carey E. Priebe
V. Lyzinski
16
31
0
06 Mar 2018
Vertex Nomination Via Seeded Graph Matching
Vertex Nomination Via Seeded Graph Matching
Heather G. Patsolic
Youngser Park
V. Lyzinski
Carey E. Priebe
16
20
0
01 May 2017
Semi-supervised classification for dynamic Android malware detection
Semi-supervised classification for dynamic Android malware detection
Li-Wei Chen
Mingwei Zhang
Chih-Yuan Yang
R. Sahita
AAML
9
27
0
19 Apr 2017
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory
  k-means Library
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library
Disa Mhembere
Da Zheng
Carey E. Priebe
Joshua T. Vogelstein
Randal C. Burns
27
0
0
28 Jun 2016
Brewing Analytics Quality for Cloud Performance
Brewing Analytics Quality for Cloud Performance
Li Chen
Pooja Jain
K. Chow
E. Guirguis
Tony F. Wu
7
3
0
31 Aug 2015
Vertex nomination schemes for membership prediction
Vertex nomination schemes for membership prediction
D. E. Fishkind
V. Lyzinski
H. Pao
L. Chen
C. E. Priebe
72
41
0
10 Dec 2013
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency
  Spectral Embedding
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
V. Lyzinski
D. Sussman
M. Tang
A. Athreya
Carey Priebe
50
114
0
02 Oct 2013
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