Hybed: Hyperbolic Neural Graph Embedding

@inproceedings{Kolkin2018HybedHN,
  title={Hybed: Hyperbolic Neural Graph Embedding},
  author={Nicholas I. Kolkin},
  year={2018}
}
Neural embeddings have been used with great success in Natural Language Processing (NLP) where they provide compact representations that encapsulate word similarity and attain state-of-the-art performance in a range of linguistic tasks. The success of neural embeddings has prompted significant amounts of research into applications in domains other than language. One such domain is graph-structured data, where embeddings of vertices can be learned that encapsulate vertex similarity and improve… CONTINUE READING