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What is Understanding Signed Graphs and Cuts about?

Signed graphs allow edges to have negative weights, representing dissimilarity between nodes. The signed Laplacian L of a signed graph is defined using the absolute values of edge weights in the degree matrix. This ensures L remains positive semidefinite. Signed normalized cuts sNcut are then defined for partitioning signed graphs, generalizing normalized cuts to account for both positive and negative edge weights between clusters. Minimizing sNcut yields the same optimization problem as for unsigned graphs

Author

maxxagain

Language

EN