SDW2vec: learning structural representations of nodes in weighted networks

Abstract Recent advances in machine learning have prompted researchers to integrate complex network structures into computational frameworks to improve inferential capabilities. Node embedding has become a promising technique in this area. However, challenges persist in accurately representing the s...

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Bibliographic Details

Published in:	Applied Network Science
Main Authors:	Shu Liu, Masaki Chujyo, Fujio Toriumi
Format:	Article
Language:	English
Published:	SpringerOpen 2025-07-01
Subjects:	Representation learning Node embedding Structural embedding Weighted networks Signed directed networks
Online Access:	https://doi.org/10.1007/s41109-025-00722-x