A0969
Title: Clustering and inference for very sparse diverse multiplex networks
Authors: Marianna Pensky - University of Central Florida (United States) [presenting]
Abstract: The focus is on the DIverse MultiPLEx Generalized Random Dot Product Graph (DIMPLE-GRDPG) network model, where all layers of the network have the same collection of nodes and follow the Generalized Random Dot Product Graph (GRDPG) model. In addition, all layers can be partitioned into groups such that the layers in the same group are embedded in the same ambient subspace, but otherwise all matrices of connection probabilities can be different. While this is already a very difficult model, it is also assumed that layers of the network are very sparse. Tensor-based approaches are used to recover the groups of layers in such a network, and subsequently estimate the ambient subspaces.
