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We present a new approach to graph limit theory which unifies and generalizes the two most well developed directions, namely dense graph limits (even the more general $L^p$ limits) and Benjamini--Schramm limits (even in the stronger…

Combinatorics · Mathematics 2018-11-05 Agnes Backhausz , Balazs Szegedy

There has been much recent interest in random graphs sampled uniformly from the n-vertex graphs in a suitable minor-closed class, such as the class of all planar graphs. Here we use combinatorial and probabilistic methods to investigate a…

Combinatorics · Mathematics 2012-10-10 Colin McDiarmid

We associate, with every infinite word over a finite alphabet, an increasing sequence of rooted finite graphs, which provide a discrete approximation of the famous Sierpi\'nski carpet fractal. Each of these sequences converges, in the…

Metric Geometry · Mathematics 2016-06-15 Daniele D'Angeli , Alfredo Donno

Breaking of equivalence between the microcanonical ensemble and the canonical ensemble, describing a large system subject to hard and soft constraints, respectively, was recently shown to occur in large random graphs. Hard constraints must…

Probability · Mathematics 2017-06-06 Diego Garlaschelli , Frank den Hollander , Andrea Roccaverde

The end compactification |\Gamma| of the locally finite graph \Gamma is the union of the graph and its ends, endowed with a suitable topology. We show that \pi_1(|\Gamma|) embeds into a nonstandard free group with hyperfinitely many…

Geometric Topology · Mathematics 2012-03-30 Isaac Goldbring , Alessandro Sisto

The present work describes the asymptotic local shape of a graph drawn uniformly at random from all connected simple planar graphs with n labelled vertices. We establish a novel uniform infinite planar graph (UIPG) as quenched limit in the…

Probability · Mathematics 2019-08-15 Benedikt Stufler

In a series of papers, of which this is the first, we study sufficient conditions for Hamiltonicity in terms of forbidden induced subgraphs and extend such results to locally finite infinite graphs. For this we use topological circles…

Combinatorics · Mathematics 2020-06-17 Karl Heuer , Deniz Sarikaya

We explore properties of generalized Paley graphs and we extend a result of Lim and Praeger by providing a more precise description of the connected components of disconnected generalized Paley graphs. This result leads to a new…

Combinatorics · Mathematics 2024-09-13 Vincent Bonini , Daniel Chamberlin , Stephen Cook , Parthiv Seetharaman , Tri Tran

We present a rather general method for proving local limit theorems, with a good rate of convergence, for sums of dependent random variables. The method is applicable when a Stein coupling can be exhibited. Our approach involves both…

Probability · Mathematics 2020-07-07 A. D. Barbour , Peter Braunsteins , Nathan Ross

We construct a sequence of finite graphs that weakly converge to a Cayley graph, but there is no labelling of the edges that would converge to the corresponding Cayley diagram. A similar construction is used to give graph sequences that…

Combinatorics · Mathematics 2020-05-11 Adam Timar

Given a set B of finite rooted graphs and a radius r as an input, we prove that it is undecidable to determine whether there exists a sequence (G_i) of finite bounded degree graphs such that the rooted r-radius neighbourhood of a random…

Combinatorics · Mathematics 2012-02-09 Endre Csóka

We couple projective limits of probability measures to direct limits of their symmetry groups. We show that the direct limit group is the group of symmetries of the projective limit probability measure. If projective systems of probability…

Probability · Mathematics 2026-03-05 Pim van der Hoorn , Huck Stepanyants , Dmitri Krioukov

Following a general program of studying limits of discrete structures, and motivated by the theory of limit objects of converge sequences of dense simple graphs, we study the limit of graph sequences such that every edge is labeled by an…

Combinatorics · Mathematics 2010-10-26 László Lovász , Balázs Szegedy

We prove that any distributional limit of finite planar graphs in which the degree of the root has an exponential tail is almost surely recurrent. As a corollary, we obtain that the uniform infinite planar triangulation and quadrangulation…

Probability · Mathematics 2012-06-05 Ori Gurel-Gurevich , Asaf Nachmias

In this article we present a Bernstein inequality for sums of random variables which are defined on a graphical network whose nodes grow at an exponential rate. The inequality can be used to derive concentration inequalities in…

Statistics Theory · Mathematics 2017-09-20 Johannes T. N. Krebs

We exhibit the joint symmetric distribution of the following two parameters on the set of unlabeled, simple, connected graphs with $n$ vertices. The first parameter is the maximal number of leaves attached to a vertex. The second parameter…

Combinatorics · Mathematics 2025-05-07 Florian Fürnsinn , Moritz Gangl , Martin Rubey

We consider changes in properties of a subgraph of an infinite graph resulting from the addition of open edges of Bernoulli percolation on the infinite graph to the subgraph. We give the triplet of an infinite graph, one of its subgraphs,…

Probability · Mathematics 2026-04-21 Kazuki Okamura

We establish a threshold for the connectivity of certain random graphs whose (dependent) edges are determined by the uniform distributions on generalized Orlicz balls, crucially using their negative correlation properties. We also show the…

Combinatorics · Mathematics 2020-12-03 Alan Frieze , Tomasz Tkocz

In this short note we observe that recent results of Abert and Hubai and of Csikvari and Frenkel about Benjamini--Schramm continuity of the holomorphic moments of the roots of the chromatic polynomial extend to the theory of dense graph…

Combinatorics · Mathematics 2018-12-04 Peter Csikvari , Peter E. Frenkel , Jan Hladky , Tamas Hubai

Graph neural networks have pushed state-of-the-arts in graph classifications recently. Typically, these methods are studied within the context of supervised end-to-end training, which necessities copious task-specific labels. However, in…

Machine Learning · Computer Science 2023-06-01 Xiao Luo , Yusheng Zhao , Yifang Qin , Wei Ju , Ming Zhang