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Partial Recovery of Erdős-Rényi Graph Alignment via $k$-Core
  Alignment
v1v2 (latest)

Partial Recovery of Erdős-Rényi Graph Alignment via kkk-Core Alignment

10 September 2018
Daniel Cullina
Negar Kiyavash
Prateek Mittal
H. Vincent Poor
ArXiv (abs)PDFHTML

Papers citing "Partial Recovery of Erdős-Rényi Graph Alignment via $k$-Core Alignment"

25 / 25 papers shown
Title
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
Adrien Lagesse
Marc Lelarge
244
0
0
19 May 2025
The feasibility of multi-graph alignment: a Bayesian approach
The feasibility of multi-graph alignment: a Bayesian approach
Louis Vassaux
Laurent Massoulié
183
4
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
363
1
0
21 Dec 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
360
5
0
08 Jun 2024
Exact Random Graph Matching with Multiple Graphs
Exact Random Graph Matching with Multiple Graphs
Taha Ameen
Bruce Hajek
165
2
0
20 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
122
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
190
19
0
27 Nov 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
289
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
202
6
0
16 Oct 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
228
19
0
01 Jun 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
107
14
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
169
12
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
151
23
0
27 Sep 2022
Random graph matching at Otter's threshold via counting chandeliers
Random graph matching at Otter's threshold via counting chandeliersSymposium on the Theory of Computing (STOC), 2022
Cheng Mao
Yihong Wu
Jiaming Xu
Sophie H. Yu
248
56
0
25 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
173
30
0
29 May 2022
Exact Community Recovery in Correlated Stochastic Block Models
Exact Community Recovery in Correlated Stochastic Block ModelsAnnual Conference Computational Learning Theory (COLT), 2022
Julia Gaudio
Miklós Z. Rácz
Anirudh Sridhar
225
17
0
29 Mar 2022
Detection threshold for correlated Erdős-Rényi graphs via densest
  subgraphs
Detection threshold for correlated Erdős-Rényi graphs via densest subgraphsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Jian Ding
Hangyu Du
170
22
0
28 Mar 2022
Exact Matching of Random Graphs with Constant Correlation
Exact Matching of Random Graphs with Constant CorrelationProbability theory and related fields (PTRF), 2021
Cheng Mao
M. Rudelson
K. Tikhomirov
329
49
0
11 Oct 2021
Correlated Stochastic Block Models: Exact Graph Matching with
  Applications to Recovering Communities
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering CommunitiesNeural Information Processing Systems (NeurIPS), 2021
Miklós Z. Rácz
Anirudh Sridhar
126
38
0
14 Jul 2021
Alignment and Comparison of Directed Networks via Transition Couplings
  of Random Walks
Alignment and Comparison of Directed Networks via Transition Couplings of Random Walks
Bongsoo Yi
Kevin O'Connor
K. Mcgoff
A. Nobel
OT
191
4
0
13 Jun 2021
Settling the Sharp Reconstruction Thresholds of Random Graph Matching
Settling the Sharp Reconstruction Thresholds of Random Graph MatchingInternational Symposium on Information Theory (ISIT), 2021
Yihong Wu
Jiaming Xu
Sophie H. Yu
261
82
0
29 Jan 2021
Random Graph Matching with Improved Noise Robustness
Random Graph Matching with Improved Noise RobustnessAnnual Conference Computational Learning Theory (COLT), 2021
Cheng Mao
M. Rudelson
K. Tikhomirov
243
27
0
28 Jan 2021
Testing correlation of unlabeled random graphs
Testing correlation of unlabeled random graphs
Yihong Wu
Jiaming Xu
Sophie H. Yu
170
38
0
23 Aug 2020
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
156
27
0
20 Jul 2019
Seeded Graph Matching via Large Neighborhood Statistics
Seeded Graph Matching via Large Neighborhood Statistics
Elchanan Mossel
Jiaming Xu
168
78
0
26 Jul 2018
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