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Found 5 papers, 2 papers with code
Content-based recommendations with Poisson factorization
We develop collaborative topic Poisson factorization (CTPF), a generative model of articles and reader preferences.
Modeling Overlapping Communities with Node Popularities
We evaluate the link prediction accuracy of our algorithm on eight real-world networks with up to 60, 000 nodes, and 24 benchmark networks.
Efficient Online Inference for Bayesian Nonparametric Relational Models
In large social networks, we expect entities to participate in multiple communities, and the number of communities to grow with the network size.
Efficient discovery of overlapping communities in massive networks
Our approach is based on a Bayesian model of networks that allows nodes to participate in multiple communities, and a corresponding algorithm that naturally interleaves subsampling from the network and updating an estimate of its communities.
Scalable Inference of Overlapping Communities
We develop a scalable algorithm for posterior inference of overlapping communities in large networks.
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