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In this paper we introduce and study a new graph invariant derived from the degree sequence of a graph $G$, called the sub-$k$-domination number and denoted $sub_k(G)$. We show that $sub_k(G)$ is a computationally efficient sharp lower…

离散数学 · 计算机科学 2016-11-09 David Amos , John Asplund , Boris Brimkov , Randy Davila

The independence polynomial of a hypergraph is the generating function for its independent (vertex) sets with respect to their cardinality. This article aims to discuss several recurrence relations for the independence polynomial using some…

组合数学 · 数学 2014-06-12 Martin Trinks

In this paper, we present subgraph2vec, a novel approach for learning latent representations of rooted subgraphs from large graphs inspired by recent advancements in Deep Learning and Graph Kernels. These latent representations encode…

机器学习 · 计算机科学 2016-06-30 Annamalai Narayanan , Mahinthan Chandramohan , Lihui Chen , Yang Liu , Santhoshkumar Saminathan

A hypergraph is "$d$-degenerate" if every subhypergraph has a vertex of degree at most $d$. A greedy algorithm colours every such hypergraph with at most $d+1$ colours. We show that this bound is tight, by constructing an $r$-uniform…

组合数学 · 数学 2014-08-18 David R. Wood

We study an issue commonly seen with graph data analysis: many real-world complex systems involving high-order interactions are best encoded by hypergraphs; however, their datasets often end up being published or studied only in the form of…

社会与信息网络 · 计算机科学 2022-11-28 Yanbang Wang , Jon Kleinberg

We present a method which provides a unified framework for most stability theorems that have been proved in graph and hypergraph theory. Our main result reduces stability for a large class of hypergraph problems to the simpler question of…

组合数学 · 数学 2022-11-15 Xizhi Liu , Dhruv Mubayi , Christian Reiher

In many proofs concerning extremal parameters of Berge hypergraphs one starts with analyzing that part of that shadow graph which is contained in many hyperedges. Capturing this phenomenon we introduce two new types of hypergraphs. A…

组合数学 · 数学 2019-12-10 Dániel Gerbner , Dániel T. Nagy , Balázs Patkós , Máté Vizer

Hyperbolicity is a graph parameter related to how much a graph resembles a tree with respect to distances. Its computation is challenging as the main approaches consist in scanning all quadruples of the graph or using fast matrix…

离散数学 · 计算机科学 2021-11-23 David Coudert , André Nusser , Laurent Viennot

The very high spatial resolution (VHR) remote sensing images have been an extremely valuable source for monitoring changes occurred on the earth surface. However, precisely detecting relevant changes in VHR images still remains a challenge,…

计算机视觉与模式识别 · 计算机科学 2022-03-01 Junzheng Wu , Ruigang Fu , Qiang Liu , Weiping Ni , Kenan Cheng , Biao Li , Yuli Sun

Despite recent advances in representation learning in hypercomplex (HC) space, this subject is still vastly unexplored in the context of graphs. Motivated by the complex and quaternion algebras, which have been found in several contexts to…

机器学习 · 计算机科学 2022-02-22 Tuan Le , Marco Bertolini , Frank Noé , Djork-Arné Clevert

Dynamic graph theory is a novel, growing area that deals with graphs that change over time and is of great utility in modelling modern wireless, mobile and dynamic environments. As a graph evolves, possibly arbitrarily, it is challenging to…

计算复杂性 · 计算机科学 2012-05-28 Bernard Mans , Luke Mathieson

In this paper we present two frameworks in which global maximization of a bounded hessian function over a strongly convex set can be reduced to convex optimization. The first presented framework is a continuation of one of our previous…

最优化与控制 · 数学 2021-10-20 Marius Costandin

The performance of distributed averaging depends heavily on the underlying topology. In various fields, including compressed sensing, multi-party computation, and abstract graph theory, graphs may be expected to be free of short cycles,…

分布式、并行与集群计算 · 计算机科学 2025-04-15 Florine W. Dekker , Zekeriya Erkin , Mauro Conti

Counting the number of small patterns is a central task in network analysis. While this problem is well studied for graphs, many real-world datasets are naturally modeled as hypergraphs, motivating the need for efficient hypergraph motif…

数据结构与算法 · 计算机科学 2026-01-08 Daniel Paul-Pena , Vaishali Surianarayanan , Deeparnab Chakrabarty , C. Seshadhri

We prove an inequality involving the degeneracy, the cutwidth and the sparsity of graphs. It implies a quadratic lower bound on the cutwidth in terms of the degeneracy for all graphs and an improvement of it for clique-free graphs.

组合数学 · 数学 2010-11-01 Benoit Kloeckner

A graph $H$ is an induced subgraph of a graph $G$ if a graph isomorphic to $H$ can be obtained from $G$ by deleting vertices. Recently, there has been significant interest in understanding the unavoidable induced subgraphs for graphs of…

组合数学 · 数学 2022-07-01 Robert Hickingbotham

$H$-Packing is the problem of finding a maximum number of vertex-disjoint copies of $H$ in a given graph $G$. $H$-Partition is the special case of finding a set of vertex-disjoint copies that cover each vertex of $G$ exactly once. Our goal…

数据结构与算法 · 计算机科学 2025-09-09 Barış Can Esmer , Dániel Marx

A graph $\Gamma$ is said to be universal for a class of graphs $\mathcal{H}$ if $\Gamma$ contains a copy of every $H \in \mathcal{H}$ as a subgraph. The number of edges required for a host graph $\Gamma$ to be universal for the class of…

组合数学 · 数学 2025-12-01 Peter Allen , Julia Böttcher , Jasmin Katz

The aim of this paper is to generalize the notion of the coloring complex of a graph to hypergraphs. We present three different interpretations of those complexes -- a purely combinatorial one and two geometric ones. It is shown, that most…

组合数学 · 数学 2012-05-01 Felix Breuer , Aaron Dall , Martina Kubitzke

In this paper, we study the higher Steklov eigenvalues of graphs on surfaces. We obtain the upper bound of higher Steklov eigenvalues of a finite graph $G$ with boundary $B$ and genus $g$ by using metrical deformation via probability flows.…

组合数学 · 数学 2026-02-03 Xiongfeng Zhan , Zhe You
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