Results 121 to 130 of about 10,205 (230)
Convex Cone Conditions on the Structure of Designs [PDF]
Various known and original inequalities concerning the structure of combinatorial designs are established using polyhedral cones generated by incidence matrices. This work begins by giving definitions and elementary facts concerning t-designs.
Dukes, Peter James
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Here we introduce simple structures for the analysis of complex hypergraphs, hypergraph animals. These structures are designed to describe the local node neighbourhoods of nodes in hypergraphs. We establish their relationships to lattice animals and network motifs, and we develop their combinatorial properties for sparse and uncorrelated hypergraphs ...
openaire +3 more sources
Stable Hypergraph Matching in Unimodular Hypergraphs
To be published at ICALP ...
Biró, Péter +2 more
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On decomposing a hypergraph into k connected sub-hypergraphs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
András Frank +2 more
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The Average Tree value for Hypergraph Games [PDF]
We consider transferable utility cooperative games (TU games) with limited cooperation introduced by hypergraph communication structure, the so-called hypergraph games.
Zhang, Guang +7 more
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In 1986, Johnson and Perry proved a class of inequalities for uniform hypergraphs which included the following: for any such hypergraph, the geometric mean over the hyperedges of the geometric means of the degrees of the nodes on the hyperedge is no less
P. D. Johnson, R. N. Mohapatra
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Application of hypergraphs in decomposition of discrete systems
seria: Lecture Notes in Control and Computer Science ; vol ...
Wiśniewska, Monika
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Hypergraph languages of bounded degree
Two types of hypergraph rewriting grammar are considered: the well-known context-free hypergraph grammar (or CFHG grammar, also known as hyperedge replacement system or HR system) and the more recent separated handle hypergraph grammar (or S-HH grammar).
Engelfriet, Joost, Heyker, Linda
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Node Classification Method Based on Hierarchical Hypergraph Neural Network
Hypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions.
Feng Xu +3 more
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From Hypergraph Energy Functions to Hypergraph Neural Networks
Hypergraphs are a powerful abstraction for representing higher-order interactions between entities of interest. To exploit these relationships in making downstream predictions, a variety of hypergraph neural network architectures have recently been ...
Gan, Quan +4 more
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