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This concept generalizes zero forcing in graphs to hypergraphs.
The results obtained are presented in graphs to ease practical and design applications.
We will then see one way to generalize the idea of expansion in graphs to simplicial complexes/hypergraphs introduced by Kaufman-Oppenheim.
His current research interests lie in theory and engineering of exact algorithms for search and enumeration problems, ranging from algebraic techniques for pattern search in graphs to classification problems in combinatorics.
Markov CLustering algorithm [MCL; [ 36]] uses flow simulation in graphs to detect clusters and was used by Pereira-Leal et al. [ 34] and Krogan et al. [ 23].
A natural generalization of the cost function for paths in graphs to hypergraphs is the sum of the costs of the hyperarcs contained in the hyperpath.
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Strength values are not included in graphs due to confidentiality concerns.
The aim of community detection in graphs is to identify the modules and, possibly, their hierarchical organization, by only using the information encoded in the graph topology.
The values in graphs correspond to the means±S.D.
The results were seen in directed acyclic graphs to maintain the relationship between categories enriched.
We compared the distribution of bicliques in model-generated graphs to that of the real yeast PPI graph.
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