Corpus ID: 235458024

An Attract-Repel Decomposition of Undirected Networks

@article{Peysakhovich2021AnAD,
  title={An Attract-Repel Decomposition of Undirected Networks},
  author={A. Peysakhovich and L. Bottou},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.09671}
}
Dot product latent space embedding is a common form of representation learning in undirected graphs (e.g. social networks, co-occurrence networks). We show that such models have problems dealing with ‘intransitive’ situations where A is linked to B, B is linked to C but A is not linked to C. Such situations occur in social networks when opposites attract (heterophily) and in co-occurrence networks when there are substitute nodes (e.g. the presence of Pepsi or Coke, but rarely both, in otherwise… Expand

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