Joint embedding of structure and features via graph convolutional networks

@article{Lerique2020JointEO,
  title={Joint embedding of structure and features via graph convolutional networks},
  author={S{\'e}bastien Lerique and Jacob Levy Abitbol and M. Karsai},
  journal={Applied Network Science},
  year={2020},
  volume={5},
  pages={1-24}
}
  • Sébastien Lerique, Jacob Levy Abitbol, M. Karsai
  • Published 2020
  • Computer Science, Mathematics
  • Applied Network Science
  • The creation of social ties is largely determined by the entangled effects of people’s similarities in terms of individual characters and friends. However, feature and structural characters of people usually appear to be correlated, making it difficult to determine which has greater responsibility in the formation of the emergent network structure. We propose AN2VEC, a node embedding method which ultimately aims at disentangling the information shared by the structure of a network and the… CONTINUE READING
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