Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository

Papers and Codes for the deep learning in hyperbolic space

An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.

Library that contains implementations of machine learning components in the hyperbolic space

Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882

Code for the paper "Compositional Entailment Learning for Hyperbolic Vision-Language Models".

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022

[ICCV 2025] Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning.

PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

[ECML-PKDD'24] HCMKR: Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation

This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted by the research tracks of International Conference on Machine Learning 2024 (ICML 2024).

Official PyTorch implementation of "A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning"

Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"

Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021

[NeurIPS '24] Code repo for the paper entitled "Learning Structured Representations with Hyperbolic Embeddings" at NeurIPS 2024

Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)

Official PyTorch implementation of the paper "Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations" (ICLR 2023)

Code for "Unsupervised Hyperbolic Metric Learning" in CVPR 2021.

Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021

The code for Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition.

Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models

[AAAI 2024] Official code for "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"

Self-supervised graph learning with hyperbolic embedding for temporal health event prediction (IEEE Cybernetics)

Learning neural network embeddings in hyperbolic spaces

Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments

Learning Affinity with Hyperbolic Representation for Spatial Propagation