A Brief Review of Network Embedding.

Big Data Mining and Analytics(2019)

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摘要
Learning the representations of nodes in a network can benefit various analysis tasks such as node classification, link prediction, clustering, and anomaly detection. Such a representation learning problem is referred to as network embedding, and it has attracted significant attention in recent years. In this article, we briefly review the existing network embedding methods by two taxonomies. The ...
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关键词
Embedded systems,Context modeling,Taxonomy,Anomaly detection,Network architecture,Network interfaces
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