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Random graph matching at Otter's threshold via counting chandeliers
v1v2 (latest)

Random graph matching at Otter's threshold via counting chandeliers

Symposium on the Theory of Computing (STOC), 2022
25 September 2022
Cheng Mao
Yihong Wu
Jiaming Xu
Sophie H. Yu
ArXiv (abs)PDFHTML

Papers citing "Random graph matching at Otter's threshold via counting chandeliers"

27 / 27 papers shown
Statistical-computational gap in multiple Gaussian graph alignment
Statistical-computational gap in multiple Gaussian graph alignment
Bertrand Even
Luca Ganassali
77
0
0
29 Nov 2025
The Algorithmic Phase Transition in Correlated Spiked Models
The Algorithmic Phase Transition in Correlated Spiked Models
Zhangsong Li
364
0
0
08 Nov 2025
Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs
Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs
Marc Lelarge
AI4CE
212
0
0
03 Oct 2025
A Smooth Computational Transition in Tensor PCA
A Smooth Computational Transition in Tensor PCA
Zhangsong Li
164
1
0
12 Sep 2025
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
Tong Qi
Vera Andersson
Peter Viechnicki
V. Lyzinski
325
0
0
03 Jun 2025
Graph Alignment via Birkhoff Relaxation
Graph Alignment via Birkhoff Relaxation
Sushil Mahavir Varma
Irène Waldspurger
Laurent Massoulié
217
3
0
07 Mar 2025
The feasibility of multi-graph alignment: a Bayesian approach
The feasibility of multi-graph alignment: a Bayesian approach
Louis Vassaux
Laurent Massoulié
281
6
0
24 Feb 2025
Robust random graph matching in Gaussian models via vector approximate message passing
Robust random graph matching in Gaussian models via vector approximate message passingAnnual Conference Computational Learning Theory (COLT), 2024
Zhangsong Li
480
1
0
21 Dec 2024
Testing Dependency of Weighted Random Graphs
Testing Dependency of Weighted Random GraphsInternational Symposium on Information Theory (ISIT), 2024
Mor Oren
Vered Paslev
Wasim Huleihel
273
1
0
23 Sep 2024
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
Information-Theoretic Thresholds for the Alignments of Partially Correlated GraphsAnnual Conference Computational Learning Theory (COLT), 2024
Dong Huang
Xianwen Song
Pengkun Yang
543
5
0
08 Jun 2024
Exact Random Graph Matching with Multiple Graphs
Exact Random Graph Matching with Multiple Graphs
Taha Ameen
Bruce Hajek
226
2
0
20 May 2024
Faster algorithms for the alignment of sparse correlated Erdös-Rényi
  random graphs
Faster algorithms for the alignment of sparse correlated Erdös-Rényi random graphsJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2024
Andrea Muratori
G. Semerjian
236
3
0
14 May 2024
The Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional regime
The Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional regime
Shuyang Gong
Zhangsong Li
178
7
0
23 Feb 2024
Low-Degree Hardness of Detection for Correlated Erdős-Rényi Graphs
Low-Degree Hardness of Detection for Correlated Erdős-Rényi Graphs
Jian Ding
Hangyu Du
Zhangsong Li
295
21
0
27 Nov 2023
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
262
4
0
22 Nov 2023
Graph Matching via convex relaxation to the simplex
Graph Matching via convex relaxation to the simplexFoundations of Data Science (FDS), 2023
Ernesto Araya Valdivia
Hemant Tyagi
254
3
0
31 Oct 2023
Robust Graph Matching when Nodes are Corrupt
Robust Graph Matching when Nodes are CorruptInternational Conference on Machine Learning (ICML), 2023
Taha Ameen
Bruce Hajek
356
7
0
28 Oct 2023
Efficiently matching random inhomogeneous graphs via degree profiles
Efficiently matching random inhomogeneous graphs via degree profiles
Jian Ding
Yumou Fei
Yuanzheng Wang
276
6
0
16 Oct 2023
Network Alignment with Transferable Graph Autoencoders
Network Alignment with Transferable Graph Autoencoders
Jiashu He
Charilaos I. Kanatsoulis
Alejandro Ribeiro
280
4
0
05 Oct 2023
Gotta match ém all: Solution diversification in graph matching matched
  filters
Gotta match ém all: Solution diversification in graph matching matched filtersIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
Zhirui Li
Ben Johnson
D. Sussman
Carey E. Priebe
V. Lyzinski
244
1
0
25 Aug 2023
Gaussian Database Alignment and Gaussian Planted Matching
Gaussian Database Alignment and Gaussian Planted Matching
Osman Emre Dai
Daniel Cullina
Negar Kiyavash
197
3
0
05 Jul 2023
A polynomial-time iterative algorithm for random graph matching with
  non-vanishing correlation
A polynomial-time iterative algorithm for random graph matching with non-vanishing correlation
Jian Ding
Zhang Li
322
20
0
01 Jun 2023
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic
  Block Models with Constant Correlation
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant CorrelationInternational Conference on Machine Learning (ICML), 2023
Joonhyuk Yang
Dongpil Shin
Hye Won Chung
292
4
0
31 May 2023
Matching Correlated Inhomogeneous Random Graphs using the $k$-core
  Estimator
Matching Correlated Inhomogeneous Random Graphs using the kkk-core EstimatorInternational Symposium on Information Theory (ISIT), 2023
Miklós Z. Rácz
Anirudh Sridhar
139
16
0
10 Feb 2023
A polynomial time iterative algorithm for matching Gaussian matrices
  with non-vanishing correlation
A polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlationFoundations of Computational Mathematics (FoCM), 2022
Jian Ding
Zhang Li
289
14
0
28 Dec 2022
Statistical limits of correlation detection in trees
Statistical limits of correlation detection in treesThe Annals of Applied Probability (Ann. Appl. Probab.), 2022
Luca Ganassali
Laurent Massoulié
G. Semerjian
223
24
0
27 Sep 2022
Matching recovery threshold for correlated random graphs
Matching recovery threshold for correlated random graphsAnnals of Statistics (Ann. Stat.), 2022
Jian Ding
Hangyu Du
287
34
0
29 May 2022
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