SURREAL: Subgraph Robust Representation Learning

SURREAL: Subgraph Robust Representation Learning

Abstract The success of graph embeddings or nodrepresentation learning in a variety of downstream tasks, such as node classification, link prediction, and recommendation systems, has led to their popularity in recent years. Representation learning algorithms aim to preserve local and global network...

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Bibliographic Details
Main Authors: Saba A. Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam
Format: Article
Language:English
Published: SpringerOpen 2019-10-01
Series:Applied Network Science
Subjects:
Large-scale information networks
Representation learning
Graph embeddings
Online Access:http://link.springer.com/article/10.1007/s41109-019-0160-1

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http://link.springer.com/article/10.1007/s41109-019-0160-1

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