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Awesome Hyperbolic Representation Learning

Tiu MoAbout 9 min

Awesome Hyperbolic Representation Learning

A curated list of resources dedicated to hyperbolic representation learning and its applications across various domains. Hyperbolic spaces are particularly suited for representing hierarchical data and tree-like structures, offering advantages over Euclidean embeddings for many complex data types.

Table of Contents

Surveys and Tutorials

Frameworks and Libraries

Core Methods

Fundamental techniques and approaches for learning in hyperbolic spaces

Computer Vision

Applications of hyperbolic geometry in computer vision tasks

Natural Language Processing

Hyperbolic embeddings for language understanding and processing

Graph Representation Learning

Methods for representing graph structures in hyperbolic spaces

Recommendation Systems

Hyperbolic approaches for recommendation and collaborative filtering

Multimodal Learning

Applying hyperbolic geometry to multiple modalities

Reinforcement Learning

Hyperbolic spaces in reinforcement learning

Clustering and Classification

Hyperbolic approaches to clustering and classification tasks

Other Applications

Additional applications of hyperbolic representation learning across various fields

Top-Tier Conferences

NeurIPS

CVPR/ICCV/ECCV

ICML/ICLR

KDD/WWW/WSDM

AAAI/IJCAI

ACL

EMNLP/NAACL

CIKM/SIGIR

Other Academic Publications

Transactions Journals

Computer Graphics & Robotics

Audio & Signal Processing

Other Venues

Tools & Libraries

Software tools and libraries for working with hyperbolic spaces

Preprints & Others

Preprints, work in progress, and other resources

Contributing

Contributions to this list are welcome! Please feel free to submit a pull request with additional resources, corrections, or improvements.

Citation

If you find this resource useful in your research, please consider citing the relevant papers linked in this collection.

License

This collection is available under the Creative Commons CC0 licenseopen in new window.