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Let d = (d1, d2, ..., dn) be a vector of non-negative integers with even sum. We prove some basic facts about the structure of a random graph with degree sequence d, including the probability of a given subgraph or induced subgraph.…

组合数学 · 数学 2010-11-30 Brendan D McKay

Hypergraph partitioning lies at the heart of a number of problems in machine learning and network sciences. Many algorithms for hypergraph partitioning have been proposed that extend standard approaches for graph partitioning to the case of…

机器学习 · 统计学 2017-05-23 Debarghya Ghoshdastidar , Ambedkar Dukkipati

Subgraph Isomorphism is a very basic graph problem, where given two graphs $G$ and $H$ one is to check whether $G$ is a subgraph of $H$. Despite its simple definition, the Subgraph Isomorphism problem turns out to be very broad, as it…

数据结构与算法 · 计算机科学 2015-04-14 Marek Cygan , Jakub Pachocki , Arkadiusz Socała

One of the main questions that arise when studying random and quasi-random structures is which properties P are such that any object that satisfies P "behaves" like a truly random one. In the context of graphs, Chung, Graham, and Wilson…

组合数学 · 数学 2009-03-03 Asaf Shapira , Raphael Yuster

In the distributed triangle detection problem, we have an $n$-vertex network $G=(V,E)$ with one player for each vertex of the graph who sees the edges incident on the vertex. The players communicate in synchronous rounds using the edges of…

数据结构与算法 · 计算机科学 2025-08-14 Sepehr Assadi , Janani Sundaresan

Graph is an important data representation ubiquitously existing in the real world. However, analyzing the graph data is computationally difficult due to its non-Euclidean nature. Graph embedding is a powerful tool to solve the graph…

密码学与安全 · 计算机科学 2021-10-07 Zhikun Zhang , Min Chen , Michael Backes , Yun Shen , Yang Zhang

Let $G$ be a uniformly chosen simple (labelled) random graph with given degree sequence $\boldsymbol{d}$ and let $X,Y,L$ be edge-disjoint graphs on the same vertex set as $G$. We investigate the probability that $X \subseteq G$ and that $G…

组合数学 · 数学 2025-10-29 John Larkin , Brendan D. McKay , Fang Tian

The problem of finding dense components of a graph is a widely explored area in data analysis, with diverse applications in fields and branches of study including community mining, spam detection, computer security and bioinformatics. This…

Let H be a graph, and let C_H(G) be the number of (subgraph isomorphic) copies of H contained in a graph G. We investigate the fundamental problem of estimating C_H(G). Previous results cover only a few specific instances of this general…

数据结构与算法 · 计算机科学 2019-02-20 Martin Furer , Shiva Prasad Kasiviswanathan

We study the utility and limitations of using $k$-uniform hypergraphs $H = ([n], E)$ ($n \ge \mathrm{poly}(k)$) in the context of error reduction for randomized algorithms for decision problems with one- or two-sided error. Our error…

数据结构与算法 · 计算机科学 2026-01-30 Vedat Levi Alev , Uriya A. First

We design new polynomial-time algorithms for recovering planted cliques in the semi-random graph model introduced by Feige and Kilian 2001. The previous best algorithms for this model succeed if the planted clique has size at least…

数据结构与算法 · 计算机科学 2023-06-07 Rares-Darius Buhai , Pravesh K. Kothari , David Steurer

We study planted problems---finding hidden structures in random noisy inputs---through the lens of the sum-of-squares semidefinite programming hierarchy (SoS). This family of powerful semidefinite programs has recently yielded many new…

数据结构与算法 · 计算机科学 2017-10-31 Samuel B. Hopkins , Pravesh K. Kothari , Aaron Potechin , Prasad Raghavendra , Tselil Schramm , David Steurer

We study the problem of detecting the presence of an underlying high-dimensional geometric structure in a random graph. Under the null hypothesis, the observed graph is a realization of an Erd\H{o}s-R\'enyi random graph $G(n,p)$. Under the…

统计理论 · 数学 2015-11-24 Sébastien Bubeck , Jian Ding , Ronen Eldan , Miklós Rácz

Given a graph, the densest subgraph problem asks for a set of vertices such that the average degree among these vertices is maximized. Densest subgraph has numerous applications in learning, e.g., community detection in social networks,…

密码学与安全 · 计算机科学 2022-11-15 Alireza Farhadi , MohammadTaghi Hajiaghayi , Elaine Shi

We introduce a framework for proving lower bounds on computational problems over distributions against algorithms that can be implemented using access to a statistical query oracle. For such algorithms, access to the input distribution is…

计算复杂性 · 计算机科学 2016-08-16 Vitaly Feldman , Elena Grigorescu , Lev Reyzin , Santosh Vempala , Ying Xiao

Steganographic protocols enable one to embed covert messages into inconspicuous data over a public communication channel in such a way that no one, aside from the sender and the intended receiver, can even detect the presence of the secret…

密码学与安全 · 计算机科学 2012-02-06 Aggelos Kiayias , Alexander Russell , Narasimha Shashidhar

In 1989, Zehavi and Itai conjectured that every $k$-connected graph contains $k$ independent spanning trees rooted at any prescribed vertex $r$. That is, for each vertex $v$, the unique $r$-$v$ paths within these $k$ spanning trees are…

We investigate the threshold probability for connectivity of sparse graphs under weak assumptions. As a corollary this completely solve the problem for Cartesian powers of arbitrary graphs. In detail, let $G$ be a connected graph on $k$…

组合数学 · 数学 2013-12-04 Felix Joos

We prove the following theorem. Given a planar graph $G$ and an integer $k$, it is possible in polynomial time to randomly sample a subset $A$ of vertices of $G$ with the following properties: (i) $A$ induces a subgraph of $G$ of treewidth…

数据结构与算法 · 计算机科学 2016-04-21 Fedor V. Fomin , Daniel Lokshtanov , Dániel Marx , Marcin Pilipczuk , Michał Pilipczuk , Saket Saurabh

We prove a robust version of a graph embedding theorem of Sauer and Spencer. To state this sparser analogue, we define $G(p)$ to be a random subgraph of $G$ obtained by retaining each edge of $G$ independently with probability $p \in…

组合数学 · 数学 2025-07-08 Peter Allen , Julia Böttcher , Yoshiharu Kohayakawa , Mihir Neve