MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT II, pp. 196-208, 2018.

Cited by: 31|Bibtex|Views15|DOI:https://doi.org/10.1007/978-3-319-93037-4_16
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Network embedding in heterogeneous information networks (HINs) is a challenging task, due to complications of different node types and rich relationships between nodes. As a result, conventional network embedding techniques cannot work on such HINs. Recently, metapath-based approaches have been proposed to characterize relationships in HI...More

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