Graph Matching between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the Question.

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 collapsed or projected into a unipartite graph, and graph matching proceeds as in the classical setting. This potentially leads to noisy edge estimates and loss of information. We formulate the graph matching problem between a bipartite and a unipartite graph using an undirected graphical model, and introduce methods to find the alignment with this model without collapsing. We theoretically demonstrate

SUBMITTER: Arroyo J 

PROVIDER: S-EPMC8865401 | biostudies-literature | 2021 Oct-Dec

REPOSITORIES: biostudies-literature