Large-Margin Classification in Hyperbolic Space
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Abstract (arXiv)
Representing data in hyperbolic space can effectively capture latent hierarchical relationships. With the goal of enabling accurate classification of points in hyperbolic space while respecting their hyperbolic geometry, we introduce hyperbolic SVM, a hyperbolic formulation of support vector machine classifiers, and elucidate through new theoretical work its connection to the Euclidean counterpart. We demonstrate the performance improvement of hyperbolic SVM for multi-class prediction tasks on real-world complex networks as well as simulated datasets. Our work allows analytic pipelines that take the inherent hyperbolic geometry of the data into account in an end-to-end fashion without resorting to ill-fitting tools developed for Euclidean space.
Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jun 2018.
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Citing papers per year: 2021: 10; 2022: 7; 2023: 11; 2024: 8; 2025: 4; 2026: 1.
41 papers.
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- 2021Hyperbolic Deep Neural Networks: A Surveycited by 138
- 2022Hyperbolic Image Segmentationcited by 101
- 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
- 2021Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifierscited by 56
- 2023Fully Hyperbolic Convolutional Neural Networks for Computer Visioncited by 48
- 2021HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projectionscited by 47
- 2022The Numerical Stability of Hyperbolic Representation Learningcited by 46
- 2021Hyperbolic Busemann Learning with Ideal Prototypescited by 40
- 2021CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Datacited by 28
- 2022HyperMiner: Topic Taxonomy Mining with Hyperbolic Embeddingcited by 15
- 2021Generalization Error Bound for Hyperbolic Ordinal Embeddingcited by 12
- 2021Linear Classifiers in Product Space Formscited by 11
29 more
- 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Spacecited by 11
- 2023Hyperbolic Random Forestscited by 9
- 2021Highly Scalable and Provably Accurate Classification in Poincare Ballscited by 8
- 2022Random Laplacian Features for Learning with Hyperbolic Spacecited by 8
- 2023Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classificationcited by 8
- 2023HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learningcited by 8
- 2023Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labelscited by 8
- 2023Fast hyperboloid decision tree algorithmscited by 7
- 2024Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networkscited by 4
- 2025Continual Hyperbolic Learning of Instances and Classescited by 4
- 2021Augmenting the User-Item Graph with Textual Similarity Modelscited by 3
- 2022HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clusteringcited by 3
- 2023Geometric Learning with Positively Decomposable Kernelscited by 3
- 2024Klein Model for Hyperbolic Neural Networkscited by 3
- 2024Adversarial Attacks on Hyperbolic Networkscited by 3
- 2022Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spacescited by 2
- 2023Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networkscited by 2
- 2024A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Spacecited by 2
- 2024Mixed-curvature decision trees and random forestscited by 2
- 2021Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Spacecited by 1
- 2022Hyperbolic Centroid Calculations for Text Classificationcited by 0
- 2023Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hullscited by 0
- 2024Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Spacecited by 0
- 2024Mixed-Curvature Decision Trees and Random Forestscited by 0
- 2024Enhance Hyperbolic Representation Learning via Second-order Poolingcited by 0
- 2025Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approachcited by 0
- 2025Hyperbolic Structured Classification for Robust Single Positive Multi-label Learningcited by 0
- 2025Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spacescited by 0
- 2026Classifiers in High Dimensional Hilbert Metricscited by 0
- 2026Classifiers in High Dimensional Hilbert Metrics19 Jan 2026
- 2025Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces13 Nov 2025
- 2025Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning17 Oct 2025
- 2025Continual Hyperbolic Learning of Instances and Classes12 Jun 2025
- 2025Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach4 Jun 2025
- 2024Adversarial Attacks on Hyperbolic Networks2 Dec 2024
- 2024Enhance Hyperbolic Representation Learning via Second-order Pooling29 Oct 2024
- 2024Klein Model for Hyperbolic Neural Networks22 Oct 2024
- 2024Mixed-curvature decision trees and random forests3 Oct 2024
- 2024A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space23 Jul 2024
- 2024Mixed-Curvature Decision Trees and Random Forests7 Jun 2024
- 2024Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space27 May 2024
29 more
- 2024Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks24 May 2024
- 2023Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels18 Nov 2023
- 2023Fast hyperboloid decision tree algorithms20 Oct 2023
- 2023Geometric Learning with Positively Decomposable Kernels20 Oct 2023
- 2023Hyperbolic Random Forests25 Aug 2023
- 2023Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls14 Aug 2023
- 2023HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning26 Jul 2023
- 2023Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification26 Jun 2023
- 2023Hyperbolic Deep Learning in Computer Vision: A Survey11 May 2023
- 2023Fully Hyperbolic Convolutional Neural Networks for Computer Vision28 Mar 2023
- 2023Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks3 Mar 2023
- 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space14 Feb 2023
- 2022Hyperbolic Centroid Calculations for Text Classification8 Nov 2022
- 2022The Numerical Stability of Hyperbolic Representation Learning31 Oct 2022
- 2022HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding16 Oct 2022
- 2022HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering19 May 2022
- 2022Hyperbolic Image Segmentation11 Mar 2022
- 2022Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces7 Mar 2022
- 2022Random Laplacian Features for Learning with Hyperbolic Space14 Feb 2022
- 2021CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data30 Nov 2021
- 2021Augmenting the User-Item Graph with Textual Similarity Models20 Sep 2021
- 2021Highly Scalable and Provably Accurate Classification in Poincare Balls8 Sep 2021
- 2021Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers23 Jul 2021
- 2021Hyperbolic Busemann Learning with Ideal Prototypes28 Jun 2021
- 2021HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections7 Jun 2021
- 2021Generalization Error Bound for Hyperbolic Ordinal Embedding21 May 2021
- 2021Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space9 May 2021
- 2021Linear Classifiers in Product Space Forms19 Feb 2021
- 2021Hyperbolic Deep Neural Networks: A Survey12 Jan 2021
- 2021Hyperbolic Deep Neural Networks: A Surveycited by 138
- 2022Hyperbolic Image Segmentationcited by 101
- 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
- 2021Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifierscited by 56
- 2023Fully Hyperbolic Convolutional Neural Networks for Computer Visioncited by 48
- 2021HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projectionscited by 47
- 2022The Numerical Stability of Hyperbolic Representation Learningcited by 46
- 2021Hyperbolic Busemann Learning with Ideal Prototypescited by 40
- 2021CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Datacited by 28
- 2022HyperMiner: Topic Taxonomy Mining with Hyperbolic Embeddingcited by 15
- 2021Generalization Error Bound for Hyperbolic Ordinal Embeddingcited by 12
- 2021Linear Classifiers in Product Space Formscited by 11
12 most cited of 41 All 41 (JSON)
- 2026Classifiers in High Dimensional Hilbert Metrics19 Jan 2026
- 2025Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces13 Nov 2025
- 2025Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning17 Oct 2025
- 2025Continual Hyperbolic Learning of Instances and Classes12 Jun 2025
- 2025Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach4 Jun 2025
- 2024Adversarial Attacks on Hyperbolic Networks2 Dec 2024
- 2024Enhance Hyperbolic Representation Learning via Second-order Pooling29 Oct 2024
- 2024Klein Model for Hyperbolic Neural Networks22 Oct 2024
- 2024Mixed-curvature decision trees and random forests3 Oct 2024
- 2024A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space23 Jul 2024
- 2024Mixed-Curvature Decision Trees and Random Forests7 Jun 2024
- 2024Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space27 May 2024
12 newest of 41 All 41 (JSON)