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. In this paper, we start by considering an optimization-based formulation of the problem for an undirected graph, and the...

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Bibliographic Details

Published in:	EURO Journal on Computational Optimization
Main Authors:	Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Format:	Article
Language:	English
Published:	Elsevier 2023-01-01
Subjects:	Semi-supervised learning Coordinate methods Multilayer hypergraphs
Online Access:	http://www.sciencedirect.com/science/article/pii/S2192440623000230