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Published in 2019 at "Applied Network Science"
DOI: 10.1007/s41109-019-0160-1
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…
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Keywords:
representation learning;
surreal subgraph;
graph;
subgraph robust ... See more keywords