Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds

Abstract

Social networks are often composed of different types of nodes. Learning and performing inference on such heterogeneous networks is a recent task. We address the tasks of tagging of nodes in social networks, where the different types of nodes have to be labeled by different set of categories or tags. We propose a new transductive approach that automatically… (More)
DOI: 10.24348/coria.2013.coria2013_6

Topics

3 Figures and Tables