Learning Joint and Individual Structure in Network Data with Covariates

arXiv:2406.08776v1 Announce Type: cross
Abstract: Datasets consisting of a network and covariates associated with its vertices have become ubiquitous. One problem pertaining to this type of data is to identify information unique to the network, information unique to the vertex covariates and information that is shared between the network and the vertex covariates. Existing techniques for network data and vertex covariates focus on capturing structure that is shared but are usually not able to differentiate structure that is unique to …

abstract arxiv become data datasets identify information network problem stat.me stat.ml type unique vertex