SINE: Scalable Incomplete Network Embedding

ICDM, 2018.

Cited by: 10|Bibtex|Views45|DOI:https://doi.org/10.1109/ICDM.2018.00089
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Attributed network embedding aims to learn low-dimensional vector representations for nodes in a network, where each node contains rich attributes/features describing node content. Because network topology structure and node attributes often exhibit high correlation, incorporating node attribute proximity into network embedding is benefic...More

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