Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question
IEEE Transactions on Network Science and Engineering(2021)
Abstract
Graph matching consists of aligning the vertices of two unlabeled graphs in order to maximize the shared structure across networks; when the graphs are unipartite, this is commonly formulated as minimizing their edge disagreements. In this paper we address the common setting in which one of the graphs to match is a bipartite network and one is unipartite. Commonly, the bipartite networks are colla...
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Key words
Bipartite graph,Mathematical model,Graphical models,Data models,Estimation,Context modeling,Noise measurement
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