Exact matching of random graphs with constant correlation

C Mao, M Rudelson, K Tikhomirov - Probability Theory and Related Fields, 2023 - Springer
This paper deals with the problem of graph matching or network alignment for Erdős–Rényi
graphs, which can be viewed as a noisy average-case version of the graph isomorphism …

Matching recovery threshold for correlated random graphs

J Ding, H Du - The Annals of Statistics, 2023 - projecteuclid.org
Matching recovery threshold for correlated random graphs Page 1 The Annals of Statistics
2023, Vol. 51, No. 4, 1718–1743 https://doi.org/10.1214/23-AOS2305 © Institute of …

Detection threshold for correlated Erdös-Rényi graphs via densest subgraph

J Ding, H Du - IEEE Transactions on Information Theory, 2023 - ieeexplore.ieee.org
The problem of detecting edge correlation between two Erdős-Rényi random graphs on
unlabeled nodes can be formulated as a hypothesis testing problem: under the null …

Random graph matching with improved noise robustness

C Mao, M Rudelson… - Conference on Learning …, 2021 - proceedings.mlr.press
Graph matching, also known as network alignment, refers to finding a bijection between the
vertex sets of two given graphs so as to maximally align their edges. This fundamental …

The algorithmic phase transition of random graph alignment problem

H Du, S Gong, R Huang - arXiv preprint arXiv:2307.06590, 2023 - arxiv.org
We study the graph alignment problem over two independent Erd\H {o} sR\'enyi graphs on $
n $ vertices, with edge density $ p $ falling into two regimes separated by the critical window …

A polynomial‐time approximation scheme for the maximal overlap of two independent Erdős–Rényi graphs

J Ding, H Du, S Gong - Random Structures & Algorithms, 2024 - Wiley Online Library
For two independent Erdős–Rényi graphs G (n, p) G\left (n, p\right), we study the maximal
overlap (ie, the number of common edges) of these two graphs over all possible vertex …

Low-Degree Hardness of Detection for Correlated Erd\H {o} sR\'enyi Graphs

J Ding, H Du, Z Li - arXiv preprint arXiv:2311.15931, 2023 - arxiv.org
Given two Erd\H {o} sR\'enyi graphs with $ n $ vertices whose edges are correlated through
a latent vertex correspondence, we study complexity lower bounds for the associated …

Efficiently matching random inhomogeneous graphs via degree profiles

J Ding, Y Fei, Y Wang - arXiv preprint arXiv:2310.10441, 2023 - arxiv.org
In this paper, we study the problem of recovering the latent vertex correspondence between
two correlated random graphs with vastly inhomogeneous and unknown edge probabilities …

A polynomial-time iterative algorithm for random graph matching with non-vanishing correlation

J Ding, Z Li - arXiv preprint arXiv:2306.00266, 2023 - arxiv.org
We propose an efficient algorithm for matching two correlated Erd\H {o} s--R\'enyi graphs
with $ n $ vertices whose edges are correlated through a latent vertex correspondence …

A polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlation

J Ding, Z Li - arXiv preprint arXiv:2212.13677, 2022 - arxiv.org
Motivated by the problem of matching vertices in two correlated Erd\H {o} sR\'enyi graphs,
we study the problem of matching two correlated Gaussian Wigner matrices. We propose an …