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We consider the problem of finding a Hamiltonian path or cycle with precedence constraints in the form of a partial order on the vertex set. We study the complexity for graph width parameters for which the ordinary problems…

Discrete Mathematics · Computer Science 2025-10-10 Jesse Beisegel , Katharina Klost , Kristin Knorr , Fabienne Ratajczak , Robert Scheffler

We investigate locality of the supercritical regime for Bernoulli percolation on transitive graphs with polynomial growth, by which we mean the following. Take a transitive graph of polynomial growth $\mathscr{G}$ satisfying…

Probability · Mathematics 2026-03-03 Sébastien Martineau , Christoforos Panagiotis

One of the fundamental results in graph minor theory is that for every planar graph $H$, there is a minimum integer $f(H)$ such that graphs with no minor isomorphic to $H$ have treewidth at most $f(H)$. A lower bound for ${f(H)}$ can be…

Combinatorics · Mathematics 2026-01-16 J. Pascal Gollin , Kevin Hendrey , Sang-il Oum , Bruce Reed

Cuts in graphs are a fundamental object of study, and play a central role in the study of graph algorithms. The problem of sparsifying a graph while approximately preserving its cut structure has been extensively studied and has many…

Data Structures and Algorithms · Computer Science 2020-09-11 Yu Chen , Sanjeev Khanna , Ansh Nagda

Haviv ({\em European Journal of Combinatorics}, 2019) has recently proved that some topological lower bounds on the chromatic number of graphs are also lower bounds on their orthogonality dimension over $\mathbb{R}$. We show that this holds…

Combinatorics · Mathematics 2019-10-14 Meysam Alishahi , Frédéric Meunier

We describe a new random greedy algorithm for generating regular graphs of high girth: Let $k\geq 3$ and $c \in (0,1)$ be fixed. Let $n \in \mathbb{N}$ be even and set $g = c \log_{k-1} (n)$. Begin with a Hamilton cycle $G$ on $n$ vertices.…

Combinatorics · Mathematics 2020-06-30 Nati Linial , Michael Simkin

Text-attributed graphs are widely used across domains, offering rich opportunities for zero-shot learning via graph-text alignment. However, existing methods struggle with tasks requiring fine-grained pattern recognition, particularly on…

Machine Learning · Computer Science 2025-10-15 Heng Zhang , Tianyi Zhang , Zijun Liu , Yuling Shi , Yaomin Shen , Haochen You , Haichuan Hu , Lubin Gan , Jin Huang

Many modern data analysis algorithms either assume or are considerably more efficient if the distances between the data points satisfy a metric. These algorithms include metric learning, clustering, and dimension reduction. As real data…

Data Structures and Algorithms · Computer Science 2019-08-23 Chenglin Fan , Anna C. Gilbert , Benjamin Raichel , Rishi Sonthalia , Gregory Van Buskirk

Regular and distance-regular characterizations of general graphs are well-known. In particular, the spectral excess theorem states that a connected graph G is distance-regular if and only if its spectral excess (a number that can be…

Combinatorics · Mathematics 2013-09-27 A. Abiad , C. Dalfò , M. A. Fiol

We study the asymptotic growth of the diameter of a graph obtained by adding sparse "long" edges to a square box in $\Z^d$. We focus on the cases when an edge between $x$ and $y$ is added with probability decaying with the Euclidean…

Probability · Mathematics 2014-01-31 Marek Biskup

This paper proves strong lower bounds for distributed computing in the CONGEST model, by presenting the bit-gadget: a new technique for constructing graphs with small cuts. The contribution of bit-gadgets is twofold. First, developing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-15 Amir Abboud , Keren Censor-Hillel , Seri Khoury , Ami Paz

Some of the most fundamental and well-studied graph parameters are the Diameter (the largest shortest paths distance) and Radius (the smallest distance for which a "center" node can reach all other nodes). The natural and important…

Data Structures and Algorithms · Computer Science 2019-04-29 Mina Dalirrooyfard , Virginia Vassilevska Williams , Nikhil Vyas , Nicole Wein

Graph-structured data is central to many scientific and industrial domains, where the goal is often to optimize objectives defined over graph structures. Given the combinatorial complexity of graph spaces, such optimization problems are…

Optimization and Control · Mathematics 2025-09-25 Shiqiang Zhang , Ruth Misener

A 1-independent bond percolation model on a graph $G$ is a probability distribution on the spanning subgraphs of $G$ in which, for all vertex-disjoint sets of edges $S_1$ and $S_2$, the states of the edges in $S_1$ are independent of the…

Probability · Mathematics 2025-06-24 Paul Balister , Tom Johnston , Michael Savery , Alex Scott

We consider the following two algorithmic problems: given a graph $G$ and a subgraph $H\subseteq G$, decide whether $H$ is an isometric or a geodesically convex subgraph of $G$. It is relatively easy to see that the problems can be solved…

Data Structures and Algorithms · Computer Science 2026-04-14 Sergio Cabello

Computing a minimum path cover (MPC) of a directed acyclic graph (DAG) is a fundamental problem with a myriad of applications, including reachability. Although it is known how to solve the problem by a simple reduction to minimum flow,…

Data Structures and Algorithms · Computer Science 2023-08-21 Manuel Cáceres , Brendan Mumey , Santeri Toivonen , Alexandru I. Tomescu

We introduce a simple method for proving lower bounds for the size of the smallest percolating set in a certain graph bootstrap process. We apply this method to determine the sizes of the smallest percolating sets in multidimensional tori…

Combinatorics · Mathematics 2021-05-11 Lianna Hambardzumyan , Hamed Hatami , Yingjie Qian

In 2015, Dankelmann and Bau proved that for every bridgeless graph $G$ of order $n$ and minimum degree $\delta$ there is an orientation of diameter at most $11\frac{n}{\delta+1}+9$. In 2016, Surmacs reduced this bound to…

Combinatorics · Mathematics 2022-01-20 Garner Cochran

We revisit the problem of privately releasing the all-pairs shortest path distances of a weighted undirected graph up to low additive error, which was first studied by Sealfon [Sea16]. In this paper, we improve significantly on Sealfon's…

Data Structures and Algorithms · Computer Science 2022-04-06 Justin Y. Chen , Shyam Narayanan , Yinzhan Xu

We consider long-range percolation in dimension $d\geq 1$, where distinct sites $x$ and $y$ are connected with probability $p_{x,y}\in[0,1]$. Assuming that $p_{x,y}$ is translation invariant and that $p_{x,y}=\|x-y\|^{-s+o(1)}$ with $s>2d$,…

Probability · Mathematics 2007-05-23 Noam Berger