This repository contains papers and codes (if available) for the deep learning in hyperbolic space.

Paper Title	Where	Architecture	Task	Code
Survey and Book
Hyperbolic Deep Neural Networks: A Survey	TPAMI2022	Survey	-	-
Hyperbolic Graph Neural Networks: A review of Methods and Application	Arxiv	Survey	-	-
Hyperbolic Geometry	Arxiv	Survey	-	-
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Hyperbolic Neural Networks
Hyperbolic Neural Networks	NeurIPS 2018
Hyperbolic Attention Networks	ICLR 2019
Hyperbolic Neural Networks++	ICLR 2021
Fully Hyperbolic Neural Networks	ACL 2022
Hyperbolic Neural Networks on Graphs
Hyperbolic Graph Convolutional Neural Networks	NeurIPS 2019
Hyperbolic Graph Neural Network	NeurIPS 2019
Lorentzian Graph Convolutional Networks	WWW 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network	CVPR 2021
Hyperbolic Graph Attention Network	Transcations on Big Data 2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders	CVPR 2021

| Hyperbolic Image Segmentation | CVPR2022 | Latent | Segmentation | PyTorch | | Curvature Generation in Curved Spaces for Few-Shot Learning | ICCV2021 | latent | Few-shot | PyTorch | | Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision | CVPR2021 | latent | segmentation | PyTorch | | Symmetric Spaces for Graph Embeddings | ICML2021 | Metric | Graph | PyTorch | | Hyperbolic Busemann Learning with Ideal Prototypes | NeurIPS2021 | Loss | Graph | PyTorch | | Learning Hyperbolic Representations of Topological Features | ICLR2021 | MLP | Graphs | Tensorflow | | Fully Hyperbolic Neural Networks | 2021 | GNN | Graphs | PyTorch | | Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders | CVPR2021 | AutoEncoder | Graph | PyTorch| | Learning the Predictability of the Future | CVPR2021 | only Latent | CV | PyTorch| | Hyperbolic Neural Networks++ | ICLR2021 | NN | NLP | PyTorch| | A Hyperbolic-to-Hyperbolic Graph Convolutional Network | CVPR2021 | GNN | Graph | PyTorch | | [HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections] | ICML2021 | NN | Visualization | -| | Generalization Error Bound for Hyperbolic Ordinal Embedding | ICML2021 | NN | NLP | - | | HGCF: Hyperbolic GCN for Collaborative Filtering | WWW2021 | Clustering | Recommendation | PyTorch|

Highly Scalable and Provably Accurate Classification in Poincare Balls	ICDM2021	Embedding	Cell	Python
Hyperbolic Distance Matrices	KDD2020	Lorentzian	NLP/Tree	python
Poincaré maps for analyzing complex hierarchies in single-cell data	Nature	Embedding	Cells	pyTorch
Differentiating through the Frechet Mean	ICML 2020	GNN	Graph	PyTorch
Constant Curvature Graph Convolutional Networks	ICML 2020	GCN	Graph	-
Mix Dimension in Poincar'{e} Geometry for 3D Skeleton-based Action Recognition	MM2020	GCN	Grpah	-
Searching for Actions on the Hyperbole	CVPR2020	Latent	CV	PyTorch
Hyperbolic Image Embedding	CVPR2020	only Latent	CV	PyTorch
Hyperbolic Zero shot Learning	CVPR2020	NN	CV	PyTorch
Hyperbolic Hierarchical Clustering	NeurIPS2020	Clustering	Classification	PyTorch
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Hyperbolic graph convolutional neural networks	NeurIPS2019	GCN	Grpah	PyTorch
Hyperbolic Ordinal Embedding	ACML2019	Ordinal Embedding	NLP/Tree	-
Hyperbolic Graph Neural Networks	NeurIPS2019	GNN	Molecular Structures	PyTorch
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Hyperbolic Neural Networks	NeurIPS2018	NN	NLP	Tensorflow
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