Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening
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DOI: 10.3390/a13090206
Abstract: 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… read more here.
Keywords: unsupervised graph; hierarchical unsupervised; graph representation; representation learning ... See more keywords