Dec 1, 2014 · We discuss clique relaxation models based on relative vertex connectivity. •. We show relations between problem complexity and vertex ...
Let G = ( V , E ) be a simple undirected graph with a set of n vertices (nodes) V and a set of edges E ⊂ V × V . Two vertices v and v ′ are connected if G ...
We study related computational complexity issues and show that finding maximum subgraphs with relatively large vertex connectivity is NP-hard. An interesting ...
This work examines the computational complexity of finding highly connected subgraphs, and finds that among the parameters yielding tractability, the edge ...
We study related computational complexity issues and show that finding maximum subgraphs with relatively large vertex connectivity is NP-hard. An ...
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Finding maximum subgraphs with relatively large vertex connectivity ; Year of publication: 2014 ; Authors: Veremyev, Alexander ; Prokopyev, Oleg A. ; Boginski, ...
Jun 25, 2019 · Now I want to find a maximum weight subgraph by finding only one vertex in each Vertex cluster. And the total weight is computed by adding all ...
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Given a graph G, find an induced subgraph H of G satisfying property Π that has the maximum number of vertices. In other words, find the minimum number of ...
A popular way of formalizing clusters in networks are highly connected subgraphs, that is, subgraphs of k vertices that have edge connectivity larger than ...
Oct 23, 2017 · Here's a proposal. Consider each vertex in the graph of nodes as the "center" as you've defined it.
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