Hyperbolic Groups
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Hyperbolic spaces provably model tree-like structures better than Euclidean geometry.
“Following prior work, we first advocate for using hyperbolic spaces which provably model tree-like structures better than Euclidean geometry.”
From Hyperbolic Entailment Cones for Learning Hierarchical Embeddings (2018) · cites this paper as Gromov, 1987
Euclidean space R^n for n ≥ 2 is not δ-hyperbolic for any δ ≥ 0, while the Poincaré ball D^n is log(1+√2)-hyperbolic.
“For instance, the Euclidean space R n for n ≥ 2 is not δ -hyperbolic for any δ ≥ 0 , while the Poincar´ e ball D n is log(1+ √ 2) -hyperbolic.”
From Hyperbolic Entailment Cones for Learning Hierarchical Embeddings (2018) · cites this paper as Gromov, 1987
For any δ > 0, any δ-hyperbolic metric space and any set of points, there exists a finite weighted tree and an embedding f such that for all i, j, a distance condition holds.
“Theorem : For any δ > 0 , any δ -hyperbolic metric space ( X,d X ) and any set of points x 1 , ..., x n ∈ X , there exists a finite weighted tree ( T, d T ) and an embedding f : T → X such that for all i, j ,”
From Hyperbolic Entailment Cones for Learning Hierarchical Embeddings (2018) · cites this paper as Gromov, 1987
The exponential growth property enables hyperbolic spaces to embed any weighted tree while almost preserving their metric.
“This exponential growth property enables hyperbolic spaces to embed any weighted tree while almost preserving their metric 3 (Gromov, 1987; Bowditch, 2006; Sarkar, 2011).”
From Hyperbolic Entailment Cones for Learning Hierarchical Embeddings (2018) · cites this paper as Gromov, 1987
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- Authors
- Gromov, M.
- Corresponding author
- Gromov, M.
- Venue
- Mathematical Sciences Research Institute Publications
- Publisher
- Springer New York
- Published
- 1987
- Pages
- 75-263
- ISSN
- 0940-4740 (ISSN-L)
- OpenAlex
- W4235484205
- Cited by
- 1,817
- References
- 19
- Citations by year
- 2026: 41 · 2025: 106 · 2024: 94 · 2023: 92 · 2022: 87 · 2021: 90 · 2020: 72 · 2019: 69 · 2018: 72 · 2017: 82 · 2016: 79 · 2015: 75 · 2014: 68 · 2013: 66 · 2012: 54
- FWCI
- 19.75
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Mathematical Sciences Research Institute publications (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Geometry and Topology › Geometric and Algebraic Topology
- Physical Sciences › Mathematics › Applied Mathematics › Geometric Analysis and Curvature Flows
- Physical Sciences › Mathematics › Geometry and Topology › Mathematics and Applications
- Keywords
- hyperbolic groups, Gromov hyperbolicity, geometric group theory, Cayley graphs, word metric, hyperbolic geometry
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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