English
Related papers

Related papers: Minimal Trails in Restricted DAGs

200 papers

Consider a directed graph (digraph) in which vertices are assigned color sets, and two vertices are connected if and only if they share at least one color and the tail vertex has a strictly smaller color set than the head. We seek to…

Combinatorics · Mathematics 2019-07-17 Xujun Liu , Roberto Machado , Olgica Milenkovic

Finite obstruction sets for lower ideals in the minor order are guaranteed to exist by the Graph Minor Theorem. It has been known for several years that, in principle, obstruction sets can be mechanically computed for most natural lower…

Combinatorics · Mathematics 2016-09-06 Kevin Cattell , Michael J. Dinneen , Michael R. Fellows

For an acyclic directed graph with multiple sources and multiple sinks, we prove that one can choose the Merger's paths between the sources and the sinks such that the number of mergings between these paths is upper bounded by a constant…

Information Theory · Computer Science 2011-04-29 Guangyue Han

Directed acyclic graphs have been used fruitfully to represent causal strucures (Pearl 1988). However, in the social sciences and elsewhere models are often used which correspond both causally and statistically to directed graphs with…

Artificial Intelligence · Computer Science 2020-10-24 Thomas S. Richardson

Discrete models have a long tradition in engineering, including finite state machines, Boolean networks, Petri nets, and agent-based models. Of particular importance is the question of how the model structure constrains its dynamics. This…

Molecular Networks · Quantitative Biology 2011-08-02 Reinhard Laubenbacher , David Murrugarra , Alan Veliz-Cuba

Probabilistic graphical models are graphical representations of probability distributions. Graphical models have applications in many fields including biology, social sciences, linguistic, neuroscience. In this paper, we propose directed…

Machine Learning · Statistics 2014-06-10 Ru Wang , Jie Peng

Score-based approaches in the structure learning task are thriving because of their scalability. Continuous relaxation has been the key reason for this advancement. Despite achieving promising outcomes, most of these methods are still…

Machine Learning · Computer Science 2023-09-07 Quang-Duy Tran , Phuoc Nguyen , Bao Duong , Thin Nguyen

We introduce priors and algorithms to perform Bayesian inference in Gaussian models defined by acyclic directed mixed graphs. Such a class of graphs, composed of directed and bi-directed edges, is a representation of conditional…

Methodology · Statistics 2012-07-02 Ricardo Silva , Zoubin Ghahramani

In 1960, Ghouila-Houri proved that every strongly connected directed graph $G$ on $n$ vertices with minimum degree at least $n$ contains a directed Hamilton cycle. We asymptotically generalize this result by proving the following: every…

Combinatorics · Mathematics 2025-05-16 Louis DeBiasio , Andrew Treglown

The stack number of a directed acyclic graph $G$ is the minimum $k$ for which there is a topological ordering of $G$ and a $k$-coloring of the edges such that no two edges of the same color cross, i.e., have alternating endpoints along the…

Combinatorics · Mathematics 2025-10-29 Paul Jungeblut , Laura Merker , Torsten Ueckerdt

We present practical linear and almost linear-time algorithms to compute a chain decomposition of a directed acyclic graph (DAG), $G=(V,E)$. The number of vertex-disjoint chains computed is very close to the minimum. The time complexity of…

Data Structures and Algorithms · Computer Science 2022-12-09 Giorgos Kritikakis , Ioannis G. Tollis

Random walks on graphs are a fundamental concept in graph theory and play a crucial role in solving a wide range of theoretical and applied problems in discrete math, probability, theoretical computer science, network science, and machine…

Spectral Theory · Mathematics 2023-11-21 Marzieh Eidi , Sayan Mukherjee

Bayesian phylogenetics typically estimates a posterior distribution, or aspects thereof, using Markov chain Monte Carlo methods. These methods integrate over tree space by applying local rearrangements to move a tree through its space as a…

An antidirected trail in a digraph is a trail (a walk with no arc repeated) in which the arcs alternate between forward and backward arcs. An antidirected path is an antidirected trail where no vertex is repeated. We show that it is…

Combinatorics · Mathematics 2016-05-26 Jorgen Bang-Jensen , Stephane Bessy , Bill Jackson , Matthias Kriesell

This paper studies the response time bound of a DAG (directed acyclic graph) task. Recently, the idea of using multiple paths to bound the response time of a DAG task, instead of using a single longest path in previous results, was proposed…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-15 Qingqiang He , Nan Guan , Shuai Zhao , Mingsong Lv

Let G be an edge weighted undirected graph. For every pair of nodes consider the shortest cycle containing these nodes in G. The cycle diameter of G is the maximum length of a cycle in this set. Let H be a directed graph obtained by…

Discrete Mathematics · Computer Science 2011-05-25 Nili Guttmann-Beck , Refael Hassin

In this paper we study termination of term graph rewriting, where we restrict our attention to acyclic term graphs. Motivated by earlier work by Plump we aim at a definition of the notion of simplification order for acyclic term graphs. For…

Logic in Computer Science · Computer Science 2016-09-14 Georg Moser , Maria A. Schett

We analyze a new property of directed acyclic graphs (DAGs), called layerwidth, arising from a class of DAGs proposed by Eiter and Lukasiewicz. This class of DAGs permits certain problems of structural model-based causality and explanation…

Data Structures and Algorithms · Computer Science 2012-12-12 Mark Hopkins

An encoding of directed acyclic graphs (DAGs) on labeled vertices is proposed, which is a generalisation of the Pr\"ufer code for labeled trees, if a certain orienation on the edges of the tree is introduced. Hence it is shown that the…

Combinatorics · Mathematics 2023-04-04 Zsófia Juhász

Interacting systems are prevalent in nature. It is challenging to accurately predict the dynamics of the system if its constituent components are analyzed independently. We develop a graph-based model that unveils the systemic interactions…

Machine Learning · Computer Science 2024-10-31 Giangiacomo Mercatali , Andre Freitas , Jie Chen