There are 2 repositories under hyperbolic-embeddings topic.
Code for the paper Learning the Predictability of the Future (CVPR 2021)
Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
Hyperbolic Image Segmentation, CVPR 2022
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020
Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.
Taxonomy refinement method to improve domain-specific taxonomy systems.
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
Conformal Geometry Stonybrook 2020 final project
Improved Embedded Topic Models in Hyperbolic Space
The official PyTorch implementation of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024 paper Hyp²Nav: Hyperbolic Planning and Curiosity for Crowd Navigation.
PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"
PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
[EMNLP'21 Findings] HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
Hyperbolic geometry for representing structural information to improve the systematic generalization of sequence-to-sequence models
Official PyTorch implementation for Co-Manifold Learning for Semi-supervised Medical Image Segmentation
Let’s train various models to embed Cayley graphs to hyperbolic plane and then study, how much can we say about groups from these embeddings. At the same time, let’s study models generalization ability, by changing their hyperparameters.
Geometric Deep Learning bachelor thesis project and notes
Learning joint Euclidean and hyperbolic graph representations. Codes for "Joint hyperbolic and Euclidean geometry contrastive graph neural networks" published in Information Sciences
C++ implementation of TreeRep algorithm from Sonathalia & Gilbert "Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding"
Feature-aware ultra-low dimensional reduction of real networks
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
About utilizing Hyperbolic space on NLP tasks.
Python implementation of EMD-HDD, a hierarchical embedding and distance recovery method using earth movers' distance, hyperbolic geometry diffusion geometry designed for hyperspectral imaging.
Byzantine robust distributed stochastic gradient descent
Mixed-curv VAE with new functionalities
Hyperbolic embedding using AudioSet ontology.