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What relations are reliably embeddable in Euclidean space?

Machine Learning 2023-01-19 v3 Machine Learning

Abstract

We consider the problem of embedding a relation, represented as a directed graph, into Euclidean space. For three types of embeddings motivated by the recent literature on knowledge graphs, we obtain characterizations of which relations they are able to capture, as well as bounds on the minimal dimensionality and precision needed.

Keywords

Cite

@article{arxiv.1903.05347,
  title  = {What relations are reliably embeddable in Euclidean space?},
  author = {Robi Bhattacharjee and Sanjoy Dasgupta},
  journal= {arXiv preprint arXiv:1903.05347},
  year   = {2023}
}

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Published at ALT 2020

R2 v1 2026-06-23T08:06:39.380Z