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Advances and Applications in Discrete Mathematics, 2023
Artes, Rosalio G. jun. +2 more
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Artes, Rosalio G. jun. +2 more
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1992
Publisher Summary This chapter describes the weight of a graph. The weight w(E) of an edge E in a multigraph G is the sum of the degrees of its end vertices; and if G is a pseudograph and E is a loop, then w(E) is defined as twice the degree of its unique end vertex.
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Publisher Summary This chapter describes the weight of a graph. The weight w(E) of an edge E in a multigraph G is the sum of the degrees of its end vertices; and if G is a pseudograph and E is a loop, then w(E) is defined as twice the degree of its unique end vertex.
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Applying Power Graph Analysis to Weighted Graphs
2012We expanded Power Graph Analysis for use with weighted graphs, applying the technique to document categorisation with promising results. With the additional weight information we were able to create more accurate representations of the underlying data while maintaining a high level of edge reduction and improving visualisation of the graph.
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Mining Weighted Subgraphs in a Single Large Graph
Information Sciences, 2020Hamido Fujita, Bay Vo, Bac Le
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Weighted Graph Cuts Without Eigenvectors a Multilevel Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007Brian Kulis, Inderjit Dhillon
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Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
IEEE Transactions on Image Processing, 2008Sébastien Bougleux +2 more
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A Note on Self-Adjoint Extensions of the Laplacian on Weighted Graphs
Journal of Functional Analysis, 2013Matthias Keller +2 more
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