Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening

We propose a novel algorithm for unsupervised graph representation learning with attributed graphs. It combines three advantages addressing some current limitations of the literature: (i) The model is inductive: it can embed new graphs without re-training in the presence of new data; (ii) The method...

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Prif Awduron:	Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2020-08-01
Cyfres:	Algorithms
Pynciau:	graph representation learning Graph2Vec graph convolutional networks graph coarsening unsupervised learning mutual information maximization
Mynediad Ar-lein:	https://www.mdpi.com/1999-4893/13/9/206
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!