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We introduce P-graphs, which are generalisations of directed graphs in which paths have a degree in a semigroup P rather than a length in N. We focus on semigroups P arising as part of a quasi-lattice ordered group (G,P) in the sense of…

Operator Algebras · Mathematics 2010-09-08 Nathan Brownlowe , Aidan Sims , Sean T. Vittadello

Unanticipated connections between different fragments of lambda calculus and different families of embedded graphs (a.k.a. "maps") motivate the problem of enumerating $\beta$-normal linear lambda terms. In this brief note, it is shown (by…

Logic in Computer Science · Computer Science 2015-09-28 Noam Zeilberger

We extend a recent model of temporal random hyperbolic graphs by allowing connections and disconnections to persist across network snapshots with different probabilities, $\omega_1$ and $\omega_2$. This extension, while conceptually simple,…

Physics and Society · Physics 2024-08-20 Sofoclis Zambirinis , Fragkiskos Papadopoulos

A simple and completely general representation of the exact exchange-correlation functional of density-functional theory is derived from the universal Lieb-Oxford bound, which holds for any Coulomb-interacting system. This representation…

Materials Science · Physics 2015-05-13 Mariana M. Odashima , K. Capelle

We introduce a simple extension of the $\lambda$-calculus with pairs---called the distributive $\lambda$-calculus---obtained by adding a computational interpretation of the valid distributivity isomorphism $A \Rightarrow (B\wedge C)\ \…

Logic in Computer Science · Computer Science 2020-10-23 Beniamino Accattoli , Alejandro Díaz-Caro

The literature on word-representable graphs is quite rich, and a number of variations of the original definition have been proposed over the years. We are initiating a systematic study of such variations based on formal languages. In our…

Discrete Mathematics · Computer Science 2024-11-06 Zhidan Feng , Henning Fernau , Pamela Fleischmann , Kevin Mann , Silas Cato Sacher

We develop an algebraic and operational framework for quantum isomorphisms of hypergraphs, using tools from compact quantum group theory. We introduce a new synchronous version of the hypergraph isomorphism game whose game algebra uniformly…

Operator Algebras · Mathematics 2025-10-22 Georgios Baziotis , Alexandros Chatzinikolaou , Gage Hoefer

Hypergraphs offer a natural modeling language for studying polyadic interactions between sets of entities. Many polyadic interactions are asymmetric, with nodes playing distinctive roles. In an academic collaboration network, for example,…

Physics and Society · Physics 2019-11-05 Philip Chodrow , Andrew Mellor

Despite the widespread adoption of higher-order mathematical structures such as hypergraphs, methodological tools for their analysis lag behind those for traditional graphs. This work addresses a critical gap in this context by proposing…

Social and Information Networks · Computer Science 2024-09-18 Giulia Preti , Adriano Fazzone , Giovanni Petri , Gianmarco De Francisci Morales

We construct explicit minimal models for the (hyper)operads governing modular, cyclic and ordinary operads, and wheeled properads, respectively. Algebras for these models are homotopy versions of the corresponding structures.

Category Theory · Mathematics 2022-12-13 Michael Batanin , Martin Markl , Jovana Obradović

Let $G$ be $2$-generated group. The generating graph of $\Gamma(G)$ is the graph whose vertices are the elements of $G$ and where two vertices $g$ and $h$ are adjacent if $G=\langle g,h\rangle$. This graph encodes the combinatorial…

Group Theory · Mathematics 2020-06-15 Scott Harper , Andrea Lucchini

We introduce a class of monotone $\sigma$-complete effect algebras, called representable, which are $\sigma$-homomorphic images of a class of monotone $\sigma$-complete effect algebras of functions taking values in the interval $[0,1]$ and…

Mathematical Physics · Physics 2015-06-17 Anatolij Dvurečenskij

Let $G$ be a countable discrete amenable group, and $\Lambda$ be a strongly connected finite $k$-graph. If $(G,\Lambda)$ is a pseudo free and locally faithful self-similar action which satisfies the finite-state condition, then the…

Operator Algebras · Mathematics 2018-05-23 Hui Li , Dilian Yang

Maier et al. (2010) introduced the relational causal model (RCM) for representing and inferring causal relationships in relational data. A lifted representation, called abstract ground graph (AGG), plays a central role in reasoning with and…

Artificial Intelligence · Computer Science 2015-08-18 Sanghack Lee , Vasant Honavar

Let $\Lambda$ be a numerical semigroup and $I\subset \Lambda$ be an ideal of $\Lambda$. The graph $G_I(\Lambda)$ assigned to an ideal $I$ of $\Lambda$ is a graph with elements of $(\Lambda \setminus I)^*$ as vertices and any two vertices…

Commutative Algebra · Mathematics 2020-12-21 Muhammad Ahsan Binyamin , Wajid Ali , Adnan Aslam , Hasan Mahmood

We give a combinatorial description of a family of 2-graphs which subsumes those described by Pask, Raeburn and Weaver. Each 2-graph $\Lambda$ we consider has an associated $C^*$-algebra, denoted $C^*(\Lambda)$, which is simple and purely…

Operator Algebras · Mathematics 2010-02-01 Peter Lewin , David Pask

A quantitative model of concurrent interaction is introduced. The basic objects are linear combinations of partial order relations, acted upon by a group of permutations that represents potential non-determinism in synchronisation. This…

Logic in Computer Science · Computer Science 2011-07-08 Emmanuel Beffara

An oriented hypergraph is a hypergraph where each vertex-edge incidence is given a label of $+1$ or $-1$. We define the adjacency, incidence and Laplacian matrices of an oriented hypergraph and study each of them. We extend several matrix…

Combinatorics · Mathematics 2015-06-17 Nathan Reff , Lucas J. Rusnak

This is an elementary introduction to the Hodge Laplacian on a graph, a higher-order generalization of the graph Laplacian. We will discuss basic properties including cohomology and Hodge theory. The main feature of our approach is…

Information Theory · Computer Science 2019-08-20 Lek-Heng Lim

While interpretability methods identify a model's learned concepts, they overlook the relationships between concepts that make up its abstractions and inform its ability to generalize to new data. To assess whether models' have learned…

Machine Learning · Computer Science 2025-11-04 Angie Boggust , Hyemin Bang , Hendrik Strobelt , Arvind Satyanarayan
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