Knowledge Association with Hyperbolic Knowledge Graph Embeddings
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Abstract (arXiv)
Capturing associations for knowledge graphs (KGs) through entity alignment, entity type inference and other related tasks benefits NLP applications with comprehensive knowledge representations. Recent related methods built on Euclidean embeddings are challenged by the hierarchical structures and different scales of KGs. They also depend on high embedding dimensions to realize enough expressiveness. Differently, we explore with low-dimensional hyperbolic embeddings for knowledge association. We propose a hyperbolic relational graph neural network for KG embedding and capture knowledge associations with a hyperbolic transformation. Extensive experiments on entity alignment and type inference demonstrate the effectiveness and efficiency of our method.
Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Oct 2020.
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Citing papers per year: 2021: 7; 2022: 11; 2023: 7; 2024: 4; 2025: 2.
31 papers.
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- 2021A Hyperbolic-to-Hyperbolic Graph Convolutional Networkcited by 53
- 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spacescited by 41
- 2022Hyperbolic Graph Neural Networks: A Review of Methods and Applicationscited by 40
- 2021Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoningcited by 22
- 2023Hyperbolic Representation Learning: Revisiting and Advancingcited by 21
- 2021Knowing the No-match: Entity Alignment with Dangling Casescited by 20
- 2022ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similaritiescited by 20
- 2023Unsupervised Entity Alignment for Temporal Knowledge Graphscited by 19
- 2022LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagationcited by 18
- 2021HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learningcited by 14
- 2022Dual-Geometric Space Embedding Model for Two-View Knowledge Graphscited by 12
- 2021Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddingscited by 10
19 more
- 2022A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learningcited by 10
- 2021Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustnesscited by 9
- 2023Geometric Relational Embeddings: A Surveycited by 8
- 2022DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typingcited by 7
- 2024Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completioncited by 7
- 2023Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphscited by 5
- 2022Dangling-Aware Entity Alignment with Mixed High-Order Proximitiescited by 4
- 2022High-quality Task Division for Large-scale Entity Alignmentcited by 4
- 2023Improving Knowledge Graph Entity Alignment with Graph Augmentationcited by 3
- 2022Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spacescited by 2
- 2023Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Pathscited by 2
- 2024Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Propertiescited by 2
- 2024Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learningcited by 2
- 2021Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Spacecited by 1
- 2022Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studiescited by 1
- 2023Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filteringcited by 1
- 2025EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perceptioncited by 1
- 2024From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoningcited by 0
- 2025Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Treecited by 0
- 2025EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception23 Apr 2025
- 2025Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree14 Feb 2025
- 2024Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning6 Dec 2024
- 2024Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties16 Oct 2024
- 2024From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning30 Aug 2024
- 2024Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion26 Jun 2024
- 2023Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths9 Oct 2023
- 2023Hyperbolic Representation Learning: Revisiting and Advancing15 Jun 2023
- 2023Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs5 Jun 2023
- 2023Improving Knowledge Graph Entity Alignment with Graph Augmentation28 Apr 2023
- 2023Geometric Relational Embeddings: A Survey24 Apr 2023
- 2023Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering9 Feb 2023
19 more
- 2023Unsupervised Entity Alignment for Temporal Knowledge Graphs1 Feb 2023
- 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces7 Nov 2022
- 2022LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation19 Oct 2022
- 2022Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs19 Sep 2022
- 2022Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces12 Sep 2022
- 2022High-quality Task Division for Large-scale Entity Alignment22 Aug 2022
- 2022DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing18 Jul 2022
- 2022A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning25 May 2022
- 2022ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities20 May 2022
- 2022Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies18 May 2022
- 2022Dangling-Aware Entity Alignment with Mixed High-Order Proximities5 May 2022
- 2022Hyperbolic Graph Neural Networks: A Review of Methods and Applications28 Feb 2022
- 2021HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning22 Sep 2021
- 2021Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness11 Aug 2021
- 2021Knowing the No-match: Entity Alignment with Dangling Cases4 Jun 2021
- 2021Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space9 May 2021
- 2021A Hyperbolic-to-Hyperbolic Graph Convolutional Network14 Apr 2021
- 2021Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning9 Apr 2021
- 2021Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings27 Mar 2021
- 2021A Hyperbolic-to-Hyperbolic Graph Convolutional Networkcited by 53
- 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spacescited by 41
- 2022Hyperbolic Graph Neural Networks: A Review of Methods and Applicationscited by 40
- 2021Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoningcited by 22
- 2023Hyperbolic Representation Learning: Revisiting and Advancingcited by 21
- 2021Knowing the No-match: Entity Alignment with Dangling Casescited by 20
- 2022ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similaritiescited by 20
- 2023Unsupervised Entity Alignment for Temporal Knowledge Graphscited by 19
- 2022LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagationcited by 18
- 2021HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learningcited by 14
- 2022Dual-Geometric Space Embedding Model for Two-View Knowledge Graphscited by 12
- 2021Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddingscited by 10
12 most cited of 31 All 31 (JSON)
- 2025EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception23 Apr 2025
- 2025Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree14 Feb 2025
- 2024Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning6 Dec 2024
- 2024Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties16 Oct 2024
- 2024From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning30 Aug 2024
- 2024Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion26 Jun 2024
- 2023Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths9 Oct 2023
- 2023Hyperbolic Representation Learning: Revisiting and Advancing15 Jun 2023
- 2023Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs5 Jun 2023
- 2023Improving Knowledge Graph Entity Alignment with Graph Augmentation28 Apr 2023
- 2023Geometric Relational Embeddings: A Survey24 Apr 2023
- 2023Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering9 Feb 2023
12 newest of 31 All 31 (JSON)