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Graph Matching: Relax at Your Own Risk
v1v2v3 (latest)

Graph Matching: Relax at Your Own Risk

13 May 2014
V. Lyzinski
D. E. Fishkind
Marcelo Fiori
Joshua T. Vogelstein
Carey E. Priebe
Guillermo Sapiro
ArXiv (abs)PDFHTML

Papers citing "Graph Matching: Relax at Your Own Risk"

50 / 51 papers shown
Title
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Yonatan Sverdlov
Yair Davidson
Nadav Dym
Tal Amir
81
4
0
10 Oct 2024
Interconnected Kingdoms: Comparing Á Song of Ice and Fire' Adaptations
  Across Media Using Complex Networks
Interconnected Kingdoms: Comparing Á Song of Ice and Fire' Adaptations Across Media Using Complex Networks
Arthur Amalvy
Madeleine Janickyj
Shane Mannion
Pádraig MacCarron
Vincent Labatut
46
0
0
07 Oct 2024
On the Exactness of SDP Relaxation for Quadratic Assignment Problem
On the Exactness of SDP Relaxation for Quadratic Assignment Problem
Shuyang Ling
64
4
0
12 Aug 2024
Network two-sample test for block models
Network two-sample test for block models
Chung Kyong Nguen
Oscar Hernan Madrid Padilla
Arash A. Amini
57
0
0
10 Jun 2024
Aligning Embeddings and Geometric Random Graphs: Informational Results
  and Computational Approaches for the Procrustes-Wasserstein Problem
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
Mathieu Even
Luca Ganassali
Jakob Maier
Laurent Massoulié
65
2
0
23 May 2024
Covariance alignment: from maximum likelihood estimation to
  Gromov-Wasserstein
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein
Yanjun Han
Philippe Rigollet
George Stepaniants
OT
50
2
0
22 Nov 2023
Graph GOSPA metric: a metric to measure the discrepancy between graphs
  of different sizes
Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes
Jinhao Gu
Á. F. García-Fernández
Robert E. Firth
Lennart Svensson
66
0
0
10 Nov 2023
Graph Matching via convex relaxation to the simplex
Graph Matching via convex relaxation to the simplex
Ernesto Araya Valdivia
Hemant Tyagi
45
2
0
31 Oct 2023
Robust affine point matching via quadratic assignment on Grassmannians
Robust affine point matching via quadratic assignment on Grassmannians
A. Kolpakov
M. Werman
24
0
0
05 Mar 2023
Kernelized multi-graph matching
Kernelized multi-graph matching
Franccois-Xavier Dupé
R. Yadav
G. Auzias
S. Takerkart
61
4
0
11 Oct 2022
Shuffled linear regression through graduated convex relaxation
Shuffled linear regression through graduated convex relaxation
Efe Onaran
Soledad Villar
47
4
0
30 Sep 2022
Random graph matching at Otter's threshold via counting chandeliers
Random graph matching at Otter's threshold via counting chandeliers
Cheng Mao
Yihong Wu
Jiaming Xu
Sophie H. Yu
73
41
0
25 Sep 2022
Higher-order accurate two-sample network inference and network hashing
Higher-order accurate two-sample network inference and network hashing
Meijia Shao
Dong Xia
Yuan Zhang
Qiong Wu
Shuo Chen
51
6
0
16 Aug 2022
Seeded graph matching for the correlated Gaussian Wigner model via the
  projected power method
Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
E. Araya
Guillaume Braun
Hemant Tyagi
116
5
0
08 Apr 2022
Random Graph Matching in Geometric Models: the Case of Complete Graphs
Random Graph Matching in Geometric Models: the Case of Complete Graphs
Haoyu Wang
Yihong Wu
Jiaming Xu
Israel Yolou
77
29
0
22 Feb 2022
Binary Diffing as a Network Alignment Problem via Belief Propagation
Binary Diffing as a Network Alignment Problem via Belief Propagation
Elie Mengin
Fabrice Rossi
27
4
0
31 Dec 2021
Improved Algorithm for the Network Alignment Problem with Application to
  Binary Diffing
Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing
Elie Mengin
Fabrice Rossi
33
0
0
31 Dec 2021
iGraphMatch: an R Package for the Analysis of Graph Matching
iGraphMatch: an R Package for the Analysis of Graph Matching
Zihuan Qiao
D. Sussman
20
1
0
16 Dec 2021
Testing network correlation efficiently via counting trees
Testing network correlation efficiently via counting trees
Cheng Mao
Yihong Wu
Jiaming Xu
Sophie H. Yu
58
36
0
22 Oct 2021
Settling the Sharp Reconstruction Thresholds of Random Graph Matching
Settling the Sharp Reconstruction Thresholds of Random Graph Matching
Yihong Wu
Jiaming Xu
Sophie H. Yu
76
75
0
29 Jan 2021
Scalable Feature Matching Across Large Data Collections
Scalable Feature Matching Across Large Data Collections
D. Degras
18
2
0
06 Jan 2021
A contribution to Optimal Transport on incomparable spaces
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
73
20
0
09 Nov 2020
COPT: Coordinated Optimal Transport for Graph Sketching
COPT: Coordinated Optimal Transport for Graph Sketching
Yihe Dong
W. Sawin
OT
101
26
0
09 Mar 2020
On a complete and sufficient statistic for the correlated Bernoulli
  random graph model
On a complete and sufficient statistic for the correlated Bernoulli random graph model
D. E. Fishkind
A. Athreya
Lingyao Meng
V. Lyzinski
Carey E. Priebe
13
1
0
23 Feb 2020
Graph matching between bipartite and unipartite networks: to collapse,
  or not to collapse, that is the question
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question
Jesús Arroyo
Carey E. Priebe
V. Lyzinski
39
2
0
05 Feb 2020
Deep Graph Matching Consensus
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
78
212
0
27 Jan 2020
R-local unlabeled sensing: A novel graph matching approach for multiview
  unlabeled sensing under local permutations
R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations
A. Abbasi
Abiy Tasissa
Shuchin Aeron
51
7
0
14 Nov 2019
A Quotient Space Formulation for Generative Statistical Analysis of
  Graphical Data
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data
X. Guo
A. Srivastava
Sudeep Sarkar
45
14
0
30 Sep 2019
Spectral Graph Matching and Regularized Quadratic Relaxations I: The
  Gaussian Model
Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model
Z. Fan
Cheng Mao
Yihong Wu
Jiaming Xu
55
25
0
20 Jul 2019
Probabilistic Permutation Synchronization using the Riemannian Structure
  of the Birkhoff Polytope
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
Tolga Birdal
Umut Simsekli
78
38
0
11 Apr 2019
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz
  Continuous Penalty in Deep Convolutional Neural Networks
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
J. Lyu
Shuai Zhang
Y. Qi
Jack Xin
73
27
0
24 Jan 2019
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed
  Networks
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks
Jesús Arroyo
D. Sussman
Carey E. Priebe
V. Lyzinski
34
9
0
26 Dec 2018
Partial Recovery of Erdős-Rényi Graph Alignment via $k$-Core
  Alignment
Partial Recovery of Erdős-Rényi Graph Alignment via kkk-Core Alignment
Daniel Cullina
Negar Kiyavash
Prateek Mittal
H. Vincent Poor
138
52
0
10 Sep 2018
Consistent polynomial-time unseeded graph matching for Lipschitz
  graphons
Consistent polynomial-time unseeded graph matching for Lipschitz graphons
Yuan Zhang
44
4
0
29 Jul 2018
Tractable Graph Matching via Soft Seeding
Tractable Graph Matching via Soft Seeding
Fei Fang
D. Sussman
V. Lyzinski
30
9
0
24 Jul 2018
Unseeded low-rank graph matching by transform-based unsupervised point
  registration
Unseeded low-rank graph matching by transform-based unsupervised point registration
Yuan Zhang
51
7
0
12 Jul 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave
Armand Joulin
Quentin Berthet
85
199
0
29 May 2018
(Nearly) Efficient Algorithms for the Graph Matching Problem on
  Correlated Random Graphs
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs
Boaz Barak
Chi-Ning Chou
Zhixian Lei
T. Schramm
Yueqi Sheng
42
66
0
07 May 2018
Matched Filters for Noisy Induced Subgraph Detection
Matched Filters for Noisy Induced Subgraph Detection
D. Sussman
Youngser Park
Carey E. Priebe
V. Lyzinski
90
31
0
06 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
276
2,162
0
01 Mar 2018
On consistent vertex nomination schemes
On consistent vertex nomination schemes
V. Lyzinski
Keith D. Levin
Carey E. Priebe
67
17
0
15 Nov 2017
Statistical inference on random dot product graphs: a survey
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
149
249
0
16 Sep 2017
Revised Note on Learning Algorithms for Quadratic Assignment with Graph
  Neural Networks
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex W. Nowak
Soledad Villar
Afonso S. Bandeira
Joan Bruna
157
117
0
22 Jun 2017
DS++: A flexible, scalable and provably tight relaxation for matching
  problems
DS++: A flexible, scalable and provably tight relaxation for matching problems
Nadav Dym
Haggai Maron
Y. Lipman
36
17
0
17 May 2017
Matchability of heterogeneous networks pairs
Matchability of heterogeneous networks pairs
V. Lyzinski
D. Sussman
56
5
0
05 May 2017
Vertex Nomination Via Seeded Graph Matching
Vertex Nomination Via Seeded Graph Matching
Heather G. Patsolic
Youngser Park
V. Lyzinski
Carey E. Priebe
81
20
0
01 May 2017
Information Recovery in Shuffled Graphs via Graph Matching
Information Recovery in Shuffled Graphs via Graph Matching
V. Lyzinski
86
33
0
08 May 2016
Manifold Matching using Shortest-Path Distance and Joint Neighborhood
  Selection
Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection
Cencheng Shen
Joshua T. Vogelstein
Carey E. Priebe
71
20
0
12 Dec 2014
Graph matching: relax or not?
Graph matching: relax or not?
Y. Aflalo
A. Bronstein
Ron Kimmel
97
16
0
29 Jan 2014
Vertex nomination schemes for membership prediction
Vertex nomination schemes for membership prediction
D. E. Fishkind
V. Lyzinski
H. Pao
L. Chen
C. E. Priebe
139
41
0
10 Dec 2013
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