Cross View Link Prediction by Learning Noise-resilient Representation Consensus

@inproceedings{Wei2017CrossVL,
  title={Cross View Link Prediction by Learning Noise-resilient Representation Consensus},
  author={Xiaokai Wei and Linchuan Xu and Bokai Cao and Philip S. Yu},
  booktitle={WWW},
  year={2017}
}
Link Prediction has been an important task for social and information networks. Existing approaches usually assume the completeness of network structure. However, in many real-world networks, the links and node attributes can usually be partially observable. In this paper, we study the problem of Cross View Link Prediction (CVLP) on partially observable networks, where the focus is to recommend nodes with only links to nodes with only attributes (or vice versa). We aim to bridge the information… CONTINUE READING
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