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Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
| Date | Stars |
|---|---|
| 2026-07-31 | 605 |
| 2026-08-03 | 606 |
| 2026-08-06 | 606 |
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## Introduction
Recently, hyperbolic spaces have emerged as a promising alternative for processing data with a tree-like structure or power-law distribution, owing to its exponential growth property and tree-likeness prior. Different from the Euclidean space, which expands polynomially, the hyperbolic space grows exponentially which makes it gain natural advantages in abstracting tree-like or scale-free data with hierarchical organizations. In this repository, we organize papers into core methods, domain applications, and cross-domain task settings to make the taxonomy easier to navigate. We will keep updating this repository with the latest research developments. We are aware that there will inevitably be some mistakes and oversights, so if you have any questions or suggestions, please feel free to contact us (menglin.yang[@]outlook.com).
<table>
<tr><td colspan="2"><a href="#latest-update" style="color:#B22222">1. Latest Update</a></td></tr>
<tr><td colspan="2"><a href="papers.md#2-core-methods-and-geometry" style="color:#B22222">2. Core Methods and Geometry</a></td></tr>
<tr>
<td> <a href="papers.md#21-hyperbolic-shallow-models-and-embeddings">2.1 Hyperbolic Shallow Models and Embeddings</a></td>
<td> <a href="papers.md#22-hyperbolic-neural-networks">2.2 Hyperbolic Neural Networks</a></td>
</tr>
<tr>
<td> <a href="papers.md#23-hyperbolic-graph-neural-networks">2.3 Hyperbolic Graph Neural Networks</a></td>
<td> <a href="papers.md#24-attention-transformers-and-sequence-models">2.4 Attention, Transformers, and Sequence Models</a></td>
</tr>
<tr>
<td> <a href="papers.md#25-theory-analysis-and-numerical-stability">2.5 Theory, Analysis, and Numerical Stability</a></td>
<td> <a href="papers.md#26-hierarchy-and-tree-modeling">2.6 Hierarchy and Tree Modeling</a></td>
</tr>
<tr>
<td> <a href="papers.md#27-mixed-curvature-and-alternative-geometries">2.7 Mixed-Curvature and Alternative Geometries</a></td>
<td> <a href="papers.md#28-hyperbolic-generative-models">2.8 Hyperbolic Generative Models</a></td>
</tr>
<tr>
<td> <a href="papers.md#29-hyperbolic-classifiers-and-decision-models">2.9 Hyperbolic Classifiers and Decision Models</a></td>
<td> <a href="papers.md#210-hyperbolic-operations-and-representation-utilities">2.10 Hyperbolic Operations and Representation Utilities</a></td>
</tr>
<tr>
<td> <a href="papers.md#211-llms-and-foundation-models">2.11 LLMs and Foundation Models</a></td>
<td></td>
</tr>
<tr><td colspan="2"><a href="papers.md#3-domain-applications" style="color:#B22222">3. Domain Applications</a></td></tr>
<tr>
<td> <a href="papers.md#31-language-and-text-applications">3.1 Language and Text Applications</a></td>
<td> <a href="papers.md#32-computer-vision-graphics-and-robotics">3.2 Computer Vision, Graphics, and Robotics</a></td>
</tr>
<tr>
<td> <a href="papers.md#33-graphs-and-networked-data">3.3 Graphs and Networked Data</a></td>
<td> <a href="papers.md#34-recommender-systems">3.4 Recommender Systems</a></td>
</tr>
<tr>
<td> <a href="papers.md#35-knowledge-graphs">3.5 Knowledge Graphs</a></td>
<td> <a href="papers.md#36-biology-and-molecular-learning">3.6 Biology and Molecular Learning</a></td>
</tr>
<tr>
<td> <a href="papers.md#37-code-representation">3.7 Code Representation</a></td>
<td> <a href="papers.md#38-education-and-learning-analytics">3.8 Education and Learning Analytics</a></td>
</tr>
<tr><td colspan="2"><a href="papers.md#4-task-oriented-settings" style="color:#B22222">4. Task-Oriented Settings</a></td></tr>
<tr>
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matched fp:4e9fbc831800a5a7, llm:Repository description and topics: 'Paper list about hyperbolic embedding, hyperbolic models, hyperbolic applications'; topics include graph-embedding, graph-neural-networks, hyperbolic-geometry, knowledge-graph, network-embedding, recommender-system, representation-learning; README organizes papers on hyperbolic neural networks, hyperbolic graph neural networks, transformers, etc.
matched fp:4e9fbc831800a5a7, llm:Repository description and topics: 'Paper list about hyperbolic embedding, hyperbolic models, hyperbolic applications'; topics include graph-embedding, graph-neural-networks, hyperbolic-geometry, knowledge-graph, network-embedding, recommender-system, representation-learning; README organizes papers on hyperbolic neural networks, hyperbolic graph neural networks, transformers, etc.
matched fp:4e9fbc831800a5a7, llm:Repository description and topics: 'Paper list about hyperbolic embedding, hyperbolic models, hyperbolic applications'; topics include graph-embedding, graph-neural-networks, hyperbolic-geometry, knowledge-graph, network-embedding, recommender-system, representation-learning; README organizes papers on hyperbolic neural networks, hyperbolic graph neural networks, transformers, etc.