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Found 5 papers, 2 papers with code
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Clustering (or community detection) on multilayer graphs poses several additional complications with respect to standard graphs as different layers may be characterized by different structures and types of information.
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
Graph Semi-Supervised learning is an important data analysis tool, where given a graph and a set of labeled nodes, the aim is to infer the labels to the remaining unlabeled nodes.
Active-set identification with complexity guarantees of an almost cyclic 2-coordinate descent method with Armijo line search
In this paper, it is established finite active-set identification of an almost cyclic 2-coordinate descent method for problems with one linear coupling constraint and simple bounds.
Optimization and Control
Total variation based community detection using a nonlinear optimization approach
Thus we describe a new nonlinear optimization approach to solve the equivalent problem leading to a community detection strategy based on $TV_Q$.
Social and Information Networks Optimization and Control Physics and Society 49M20, 65K10, 91D30, 91C20
Data Filtering for Cluster Analysis by $\ell_0$-Norm Regularization
A data filtering method for cluster analysis is proposed, based on minimizing a least squares function with a weighted $\ell_0$-norm penalty.
