Persona2vec: a flexible multi-role representations learning framework for graphs
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DOI: 10.7717/peerj-cs.439
Abstract: Graph embedding techniques, which learn low-dimensional representations of a graph, are achieving state-of-the-art performance in many graph mining tasks. Most existing embedding algorithms assign a single vector to each node, implicitly assuming that a single… read more here.
Keywords: persona2vec; framework; flexible multi; persona2vec flexible ... See more keywords