RaRE: Social Rank Regulated Large-scale Network Embedding

@inproceedings{Gu2018RaRESR,
  title={RaRE: Social Rank Regulated Large-scale Network Embedding},
  author={Yupeng Gu and Yizhou Sun and Yanen Li and Yang Yang},
  booktitle={WWW},
  year={2018}
}
Network embedding algorithms that map nodes in a network into a low-dimensional vector space are prevalent in recent years, due to their superior performance in many network-based tasks, such as clustering, classification, and link prediction. The main assumption of existing algorithms is that the learned latent representation for nodes should preserve the structure of the network, in terms of first-order or higher-order connectivity. In other words, nodes that are more similar will have higher… CONTINUE READING

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