University of Cambridge > > Isaac Newton Institute Seminar Series >  Matched bipartite block model with covariates

Matched bipartite block model with covariates

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2021, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity