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Matched bipartite block model with covariates

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SNAW01 - Graph limits and statistics

Community detection in bipartite networks is challenging. Motivated by an application from biology, we consider a model which allows for matched communities in the bipartite setting, in addition to node covariates with information about the matching. We derive a simple fast algorithm for fitting the model based on variational inference ideas and show its effectiveness in simulations.

This talk is part of the Isaac Newton Institute Seminar Series series.

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