Hyper-Path-Based Representation Learning for Hyper-Networks

@article{Huang2019HyperPathBasedRL,
  title={Hyper-Path-Based Representation Learning for Hyper-Networks},
  author={Jie Huang and Xin Liu and Yangqiu Song},
  journal={Proceedings of the 28th ACM International Conference on Information and Knowledge Management},
  year={2019}
}
  • Jie Huang, Xin Liu, Yangqiu Song
  • Published 24 August 2019
  • Computer Science
  • Proceedings of the 28th ACM International Conference on Information and Knowledge Management
Network representation learning has aroused widespread interests in recent years. While most of the existing methods deal with edges as pairwise relationships, only a few studies have been proposed for hyper-networks to capture more complicated tuplewise relationships among multiple nodes. A hyper-network is a network where each edge, called hyperedge, connects an arbitrary number of nodes. Different from conventional networks, hyper-networks have certain degrees of indecomposability such that… 

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