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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...
שמור ב:
| הוצא לאור ב: | PeerJ Comput Sci |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
PeerJ Inc.
2021
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| נושאים: | |
| גישה מקוונת: | 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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