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dynnode2vec: Scalable Dynamic Network Embedding

Published in arXiv (Cornell University) • Dec 6, 2018
Authors:
Sedigheh Mahdavi
,
Shima Khoshraftar
,
Aijun An

Abstract

Network representation learning in low dimensional vector space has attracted considerable attention in both academic and industrial domains. Most real-world networks are dynamic with addition/deletion of nodes and edges. The existing graph embedding methods are designed for static networks and they...

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