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For a graph invariant $\pi$, the Contraction($\pi$) problem consists in, given a graph $G$ and two positive integers $k,d$, deciding whether one can contract at most $k$ edges of $G$ to obtain a graph in which $\pi$ has dropped by at least…

Data Structures and Algorithms · Computer Science 2021-03-23 Paloma T. Lima , Vinicius F. dos Santos , Ignasi Sau , Uéverton S. Souza

Given a hypergraph $H$, the Minimum Connectivity Inference problem asks for a graph on the same vertex set as $H$ with the minimum number of edges such that the subgraph induced by every hyperedge of $H$ is connected. This problem has…

Data Structures and Algorithms · Computer Science 2019-08-27 Édouard Bonnet , Diana-Elena Fălămaş , Rémi Watrigant

In a recent paper, Caron and Fox suggest a probabilistic model for sparse graphs which are exchangeable when associating each vertex with a time parameter in $\mathbb{R}_+$. Here we show that by generalizing the classical definition of…

Probability · Mathematics 2018-06-21 Christian Borgs , Jennifer T. Chayes , Henry Cohn , Nina Holden

We prove that a simple random walk on quasi-transitive graphs with the volume growth being faster than any polynomial of degree 4 has a.s. infinitely many cut times, and hence infinitely many cutpoints. This confirms a conjecture raised by…

Probability · Mathematics 2017-12-08 He Song , Kainan Xiang

It has been known for some time that the topological entropy is a nondecreasing function of the parameter in the real quadratic family, which corresponds to the intuitive idea that more nonlinearity induces more complex dynamical behavior.…

Dynamical Systems · Mathematics 2009-09-25 John Milnor , Charles Tresser

We study upper bounds on the sum-rate of multiple-unicasts. We approximate the Generalized Network Sharing Bound (GNS cut) of the multiple-unicasts network coding problem with $k$ independent sources. Our approximation algorithm runs in…

Information Theory · Computer Science 2015-11-17 Karthikeyan Shanmugam , Megasthenis Asteris , Alexandros G. Dimakis

This work has two contributions. The first one is extending the Large Deviation Principle for uniform hyper-graphons from Lubetzky and Zhao \cite{lubetzky2015replica} to the multi-relational setting where each hyper-graphon can have…

General Mathematics · Mathematics 2024-03-18 Juan Alvarado , Jan Ramon , Yuyi Wang

We study how to sparsify connectivity in graphs under a tight deletion budget. Given a graph $G$ and integers $k,x \ge 0$, Critical Node Cut (CNC) asks whether we can delete at most $k$ vertices so that the number of remaining unordered…

Data Structures and Algorithms · Computer Science 2026-02-17 Dušan Knop , Nikolaos Melissinos , Manolis Vasilakis

Elek and Lippner (2010) showed that the convergence of a sequence of bounded-degree graphs implies the existence of a limit for the proportion of vertices covered by a maximum matching. We provide a characterization of the limiting…

Probability · Mathematics 2012-04-12 Charles Bordenave , Marc Lelarge , Justin Salez

Grid entropy is a deterministic quantity inherent to lattice models which captures the entropy of empirical measures along paths that converge weakly to a given target measure. In this paper, we study the limiting behaviour of empirical…

Probability · Mathematics 2022-10-04 Alexandru Gatea

The recently developed notion of action convergence by Backhausz and Szegedy unifies and generalises the dense (graphon) and local-global (graphing) convergences of graph sequences. This is done through viewing graphs as operators and…

Combinatorics · Mathematics 2022-10-20 Aranka Hrušková

We establish weak limits for the empirical entropy regularized optimal transport cost, the expectation of the empirical plan and the conditional expectation. Our results require only uniform boundedness of the cost function and no…

Statistics Theory · Mathematics 2023-05-18 Alberto González-Sanz , Shayan Hundrieser

Graph neural networks (GNNs) extend convolutional neural networks (CNNs) to graph-based data. A question that arises is how much performance improvement does the underlying graph structure in the GNN provide over the CNN (that ignores this…

Machine Learning · Computer Science 2020-12-17 Lavender Yao Jiang , John Shi , Mark Cheung , Oren Wright , José M. F. Moura

In the paper we study what sets can be obtained as $\alpha$-limit sets of backward trajectories in graph maps. We show that in the case of mixing maps, all those $\alpha$-limit sets are $\omega$-limit sets and for all but finitely many…

Dynamical Systems · Mathematics 2021-11-10 Magdalena Foryś-Krawiec , Jana Hantáková , Piotr Oprocha

Let $\mathcal{P}_G$ be the family of all topologically mixing, but not exact self-maps of a topological graph $G$. It is proved that the infimum of topological entropies of maps from $\mathcal{P}_G$ is bounded from below by $(\log 3/…

Dynamical Systems · Mathematics 2026-05-13 Grzegorz Harańczyk , Dominik Kwietniak , Piotr Oprocha

As a natural variant of domination in graphs, Dankelmann et al. [Domination with exponential decay, Discrete Math. 309 (2009) 5877-5883] introduce exponential domination, where vertices are considered to have some dominating power that…

Combinatorics · Mathematics 2015-10-30 Stephane Bessy , Pascal Ochem , Dieter Rautenbach

The notion of weak saturation was introduced by Bollob\'as in 1968. Let $F$ and $H$ be graphs. A spanning subgraph $G \subseteq F$ is weakly $(F,H)$-saturated if it contains no copy of $H$ but there exists an ordering $e_1,\ldots,e_t$ of…

Combinatorics · Mathematics 2022-03-08 Gal Kronenberg , Taísa Martins , Natasha Morrison

We continue our study of when topological and measure-theoretic entropy agree for algebraic action of sofic groups. Specifically, we provide a new abstract method to prove that an algebraic action is strongly sofic. The method is based on…

Dynamical Systems · Mathematics 2018-11-15 Ben Hayes

For an undirected edge-weighted graph $G$ and a set $R$ of pairs of vertices called pairs of terminals, a multicut is a set of edges such that removing these edges from $G$ disconnects each pair in $R$. We provide an algorithm computing a…

Data Structures and Algorithms · Computer Science 2020-10-06 Vincent Cohen-Addad , Éric Colin de Verdière , Arnaud de Mesmay

Menger's theorem is an important building block of numerous results in the study of graph structure. We consider a variant in terms of coarse geometry. We say that a set of graphs has the weak coarse Menger property if there exist functions…

Combinatorics · Mathematics 2026-05-12 Chun-Hung Liu