Template-Based Graph Clustering
Riva, M.; Yger, Florian; Gori, P.; Cesar, R.; Bloch, I. (2020), Template-Based Graph Clustering, ECML-PKDD, Workshop on Graph Embedding and Minin (GEM), 2020-09, Ghent, BELGIUM
TypeCommunication / Conférence
Conference titleECML-PKDD, Workshop on Graph Embedding and Minin (GEM)
MetadataShow full item record
Abstract (EN)We propose a novel graph clustering method guided by additional information on the underlying structure of the clusters (or communities). The problem is formulated as the matching of a graph to a template with smaller dimension, hence matching n vertices of the observed graph (to be clustered) to the k vertices of a template graph, using its edges as support information, and relaxed on the set of orthonormal matrices in order to find a k dimensional embedding. With relevant priors that encode the density of the clusters and their relationships, our method outperforms classical methods, especially for challenging cases.
Subjects / Keywordsgraph clustering; graph matching; graph segmentation; structural prior
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Labernia, Fabien; Yger, Florian; Mayag, Brice; Atif, Jamal (2017) Article accepté pour publication ou publié