hypergraph

Introduction. Directed hypergraphs are the generalization of digraphs and have been widely used in discrete mathematics and computer science ...

www.intlpress.com·416.8 KB

HNHN is a hypergraph convolution network with nonlinear activation functions applied to both hypernodes and hyper- edges, combined with a normalization scheme.

grlplus.github.io·380.5 KB

by A Bretto · Cited by 1294 — Hypergraphs are systems of finite sets and form, probably, the most general concept in discrete mathematics. This branch of mathematics has developed very.

minishop.ciando-shop.com·375.4 KB

A hypergraph is k-uniform if all its edges have size k. (Thus, a 2-uniform hypergraph is a graph.) An r-partite hypergraph H is called an r-partite chain if ...

annals.math.princeton.edu·368.5 KB

The class of perfect graphs is a remarkable class of graphs with profound connections in mathematics, theoretical computer science and optimization. There is ...

web.math.princeton.edu·338.1 KB

Hypergraph, an expressive structure with flexibil- ity to model the higher-order correlations among entities, has recently attracted increasing attention.

www.ijcai.org·219.0 KB

Directed hypergraphs are generalizations of digraphs and can be used to model binary relations among subsets of a given set. Planarity of hypergraphs was ...

pdfs.semanticscholar.org·218.4 KB

A hypergraph H = (V, E, , c) is defined as a set of vertices V and hyperedges E where each hyperedge is a subset of the vertex set V. represents the ...

web.njit.edu·182.2 KB

In this paper, we propose to define the entropy of a hypergraph as a vector, by using substructures - namely partial hypergraphs. An entropy vector associated ...

perso.telecom-paristech.fr·166.3 KB

Spectral graph and hypergraph theory: connections and applications organized by. Sebastian Cioaba, Krystal Guo, and Nikhil Srivastava. Workshop Summary.

aimath.org·153.6 KB

A directed hypergraph is a hypergraph with directed hyperedges. In the following, directed hypergraphs will simply be called hypergraphs. An example of ...

static.aminer.org·108.5 KB

In this paper, we present a directed hypergraph model for. RDF to represent RDF documents efficiently, overcoming those limitations. 1 Related Work. An RDF ...

ceur-ws.org·100.7 KB

We propose a hypergraph neural networks framework,. i.e., HGNN, for representation learning using hypergraph structure. HGNN is able to formulate complex and ...

ojs.aaai.org

We propose a hypergraph neural networks framework,. i.e., HGNN, for representation learning using hypergraph structure. HGNN is able to formulate complex and ...

ojs.aaai.org

Abstract. Hypergraph captures high-order information in structured data and obtains much attention in machine learning and data mining.

ojs.aaai.org