Results 131 to 140 of about 11,124 (213)

Hypergraphes arbores

Discrete Mathematics, 1978
AbstractUn hypergraphe arboré est l'hypergraphe d'une familie de sous-arbres d'un arbre. Un hypergraphe est arboré si, et seulement si, il a la propriété de Helly et sa représentation triangulée; cette derniére propriété est ensuite remplacée par une condition sur les cycles de l'hypergraphe.
openaire   +1 more source

PROPERTIES OF BIPOLAR FUZZY HYPERGRAPHS

, 2013
In this article, we apply the concept of bipolar fuzzy sets to hypergraphs and investigate some properties of bipolar fuzzy hypergraphs.  We introduce the notion of A− tempered bipolar fuzzy hypergraphs and present some of their properties.  We
Akram, M., Sarwar, S., Dudek, W.A.
core  

The mixed hypergraphs.

Comput. Sci. J. Moldova, 1993
We introduce the notion of an anti-edge of a hypergraph, which is a non-overall polychromatic subset of vertices. The maximal number of colors, for which there exists a coloring of a hypergraph using all colors, is called an upper chromatic number of a hypergraph H and denoted by `c(H).
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Higher-order trade-offs in hypergraph community detection. [PDF]

Sci Adv
Li J, Schaub MT, Peel L.
europepmc   +1 more source

Hyperedge approximation for stochastic processes on higher-order networks. [PDF]

Proc Natl Acad Sci U S A
Sheng A, McAvoy A, Tian Y, Zhang S, Fontan A, Plotkin JB.   +5 more
europepmc   +1 more source

PMPIHGLL: predicting metabolite-protein interactions using dual hypergraph convolutional networks and large language models. [PDF]

Brief Bioinform
Chen L, Jin Z, Shao Y, Zhou B.
europepmc   +1 more source

Information theory for hypergraph similarity. [PDF]

Sci Adv
Felippe H, Kirkley A, Battiston F.
europepmc   +1 more source

Cover-free families on hypergraphs and combinatorial group testing. [PDF]

J Comb Optim
Idalino TB, Moura L.
europepmc   +1 more source

CCLPH: community-centric approach to link prediction in hyper complex networks. [PDF]

Sci Rep
Nandini YV, Lakshmi TJ, Enduri MK, Biswas B.   +3 more
europepmc   +1 more source

DDEC: Dual Dependency-Enhanced Contrastive Learning for Sparse Hypergraph Node Classification. [PDF]

Entropy (Basel)
Liu M, Zheng W, Yuan S.
europepmc   +1 more source