Results 101 to 110 of about 25,758 (195)
Quantum Contextual Hypergraphs, Operators, Inequalities, and Applications in Higher Dimensions
Quantum contextuality plays a significant role in supporting quantum computation and quantum information theory. The key tools for this are the Kochen–Specker and non-Kochen–Specker contextual sets.
Mladen Pavičić
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A Hypergraph Data Model for Expert-Finding in Multimedia Social Networks
Online Social Networks (OSNs) have found widespread applications in every area of our life. A large number of people have signed up to OSN for different purposes, including to meet old friends, to choose a given company, to identify expert users about a ...
Flora Amato +2 more
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Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing
Hypergraphs are vital in modelling data with higher-order relations containing more than two entities, gaining prominence in machine learning and signal processing. Many hypergraph neural networks leverage message passing over hypergraph structures to enhance node representation learning, yielding impressive performances in tasks like hypergraph node ...
Tang, B, Chen, S, Dong, X
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HyperGodot: Interactive hypergraph visualization tool
Hypergraphs provide a robust framework for modeling complex, multi-actor interactions that traditional graphs struggle to represent. In many real-world applications, interactions involve more than just pairs of entities, which makes hypergraphs an ...
Attila Ficsor +3 more
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A Note on a Broken-Cycle Theorem for Hypergraphs
Whitney’s Broken-cycle Theorem states the chromatic polynomial of a graph as a sum over special edge subsets.
Trinks Martin
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Hypergraphes de Petersen! Hypergraphes de Moore?
RésuméOn étudie ici des sous structures des plan projectifs finis Pg(2,n) oú n est impair. Dans ceux-ci les (n + 1)-arcs induisent une décomposition canonique.Soit E l'ensemble des points, D celui des droites, appelons X l'ensemble des points d'un (n+1)-arc.
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Connected components in networks with higher-order interactions
We address the problem of defining connected components in hypergraphs, which are models for systems with higher-order interactions. For graphs with dyadic interactions, connected components are defined in terms of paths connecting nodes along the graph.
Gyeong-Gyun Ha +2 more
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Entropy-based models to randomise real-world hypergraphs
Network theory has often disregarded many-body relationships, solely focusing on pairwise interactions: neglecting them, however, can lead to misleading representations of complex systems.
Fabio Saracco +3 more
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Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks
Many real-world problems can be modelled in the form of complex networks. Social networks such as research collaboration networks and facebook, biological neural networks such as human brains, biomedical networks such as drug-target interactions and ...
Y. V. Nandini +4 more
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