BiANE: Bipartite Attributed Network Embedding

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 149-158, 2020.

Cited by: 0|Bibtex|Views105|DOI:https://doi.org/10.1145/3397271.3401068
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Network embedding effectively transforms complex network data into a low-dimensional vector space and has shown great performance in many real-world scenarios, such as link prediction, node classification, and similarity search. A plethora of methods have been proposed to learn node representations and achieve encouraging results. Neverth...More

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