Results 11 to 20 of about 538 (183)

On Lagrangians of r-uniform hypergraphs [PDF]

open access: yesJournal of Combinatorial Optimization, 2013
A remarkable connection between the order of a maximum clique and the Lagrangian of a graph was established by Motzkin and Straus in [7]. This connection and its extensions were successfully employed in optimization to provide heuristics for the maximum clique number in graphs. It has been also applied in spectral graph theory.
Yuejian Peng   +2 more
openaire   +4 more sources

A Cheeger Cut for Uniform Hypergraphs [PDF]

open access: yesGraphs and Combinatorics, 2021
AbstractThe graph Cheeger constant and Cheeger inequalities are generalized to the case of hypergraphs whose edges have the same cardinality. In particular, it is shown that the second largest eigenvalue of the generalized normalized Laplacian is bounded both above and below by the generalized Cheeger constant, and the corresponding eigenfunctions can ...
openaire   +6 more sources

A family of $t$-regular ‎self-complementary $k$-hypergraphs [PDF]

open access: yesTransactions on Combinatorics, 2017
We use the recursive method of construction large sets of t-designs given by Qiu-rong Wu (A note on extending t-designs‎, ‎{em Australas‎. ‎J‎. ‎Combin.}‎, ‎{bf 4} (1991) 229--235.), and present a similar method for constructing $t$-subset-regular‎ ‎self-
Masoud Ariannejad   +2 more
doaj   +1 more source

Hypergraph partitioning using tensor eigenvalue decomposition.

open access: yesPLoS ONE, 2023
Hypergraphs have gained increasing attention in the machine learning community lately due to their superiority over graphs in capturing super-dyadic interactions among entities.
Deepak Maurya, Balaraman Ravindran
doaj   +1 more source

ON THE SPECTRA OF TENSOR JOIN OF HYPERGRAPHS [PDF]

open access: yesJournal of Algebraic Systems
In this paper, we consider certain classes of hypergraphs constructed from the tensor join of hypergraphs, specifically the tensor join of hypergraphs constrained by vertex subsets and the $(H, \mathcal{T}_{\mathcal{S}})$-join of hypergraphs constrained ...
Vishnupriya Ramkumar, Rajkumar Rajendran
doaj   +1 more source

On Clustering Detection Based on a Quadratic Program in Hypergraphs

open access: yesJournal of Mathematics, 2022
A proper cluster is usually defined as maximally coherent groups from a set of objects using pairwise or more complicated similarities. In general hypergraphs, clustering problem refers to extraction of subhypergraphs with a higher internal density, for ...
Qingsong Tang
doaj   +1 more source

Spectra of uniform hypergraphs

open access: yesLinear Algebra and its Applications, 2012
We present a spectral theory of hypergraphs that closely parallels Spectral Graph Theory. A number of recent developments building upon classical work has led to a rich understanding of "hyperdeterminants" of hypermatrices, a.k.a. multidimensional arrays.
Cooper, Joshua, Dutle, Aaron
openaire   +3 more sources

High Girth Hypergraphs with Unavoidable Monochromatic or Rainbow Edges

open access: yesDiscussiones Mathematicae Graph Theory, 2022
A classical result of Erdős and Hajnal claims that for any integers k, r, g ≥ 2 there is an r-uniform hypergraph of girth at least g with chromatic number at least k.
Axenovich Maria, Karrer Annette
doaj   +1 more source

Maximizing Spectral Radii of Uniform Hypergraphs with Few Edges

open access: yesDiscussiones Mathematicae Graph Theory, 2016
In this paper we investigate the hypergraphs whose spectral radii attain the maximum among all uniform hypergraphs with given number of edges. In particular we characterize the hypergraph(s) with maximum spectral radius over all unicyclic hypergraphs ...
Fan Yi-Zheng   +3 more
doaj   +1 more source

On the Degree Sequences of Uniform Hypergraphs [PDF]

open access: yes, 2013
In hypergraph theory, determining a good characterization of d, the degree sequence of an h-uniform hypergraph $\mathcal{H}$, and deciding the complexity status of the reconstruction of $\mathcal{H}$ from d, are two challenging open problems. They can be formulated in the context of discrete tomography: asks whether there is a matrix A with nonnegative
FROSINI, ANDREA   +2 more
openaire   +2 more sources

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