A Brief Review of Network Embedding

@inproceedings{Wang2018ABR,
  title={A Brief Review of Network Embedding},
  author={Yaojing Wang and Yonghong Yao and Hanghang Tong and Feng Xu and Jian Lu},
  year={2018}
}
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 technical taxonomy focuses on the specific techniques used and divides the existing network… CONTINUE READING

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