Reviews: Unsupervised Learning from Noisy Networks with Applications to Hi-C Data

I believe the review of this paper should be done in 2 stages: 1) method; 2) application. The method, as presented, is fairly general and could be applied to many different scenarios. It is a relatively novel method for network de-noising – combining multiple networks from noisy observations of the true underlying networks, in particular network that is made of more or less clear clusters. In this context the method is well described. I would be interested to know how well does it scale – the complexity and running time of the method on networks of various size.