• Corpus ID: 557525

Modeling Relational Data via Latent Factor Blockmodel

@article{Gao2012ModelingRD,
  title={Modeling Relational Data via Latent Factor Blockmodel},
  author={Sheng Gao and Ludovic Denoyer and Patrick Gallinari},
  journal={ArXiv},
  year={2012},
  volume={abs/1204.2581}
}
In this paper we address the problem of modeling relational data, which appear in many applications such as social network analysis, recommender systems and bioinformatics. Previous studies either consider latent feature based models but disregarding local structure in the network, or focus exclusively on capturing local structure of objects based on latent blockmodels without coupling with latent characteristics of objects. To combine the benefits of the previous work, we propose a novel model… 

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