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Persona2vec: a flexible multi-role representations learning framework for graphs

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 representation is enough to capture all...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:PeerJ Comput Sci
Egile Nagusiak: Yoon, Jisung, Yang, Kai-Cheng, Jung, Woo-Sung, Ahn, Yong-Yeol
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: PeerJ Inc. 2021
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8022511/
https://ncbi.nlm.nih.gov/pubmed/33834106
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.439
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