code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
-
Updated
Oct 3, 2023 - Python
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
Embed arbitrary graphs in Hyperbolic space
Poincaré Embedding
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
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
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
draw the Wythoff construction of uniform tilings in hyperbolic plane
K-Means algorithm in the Poincare Disk Model
Reference implementation of the HEAT algorithm described in https://link.springer.com/chapter/10.1007/978-3-030-62362-3_4
A Python tool to visualize geometric shapes in the native representation of hyperbolic space.
Variational Autoencoder with non-euclidean (hyperbolic) latent space
Experiments and content for the "Accelerating hyperbolic t-SNE" paper.
Official implementation of Highly Scalable and Provably Accurate Classification in Poincaré Balls (ICDM regular paper 2021)
Python stuff for drawing 3D hyperbolic polyhedra.
[EMNLP'21 Findings] HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
dm-haiku implementation of hyperbolic neural networks
Add a description, image, and links to the hyperbolic-geometry topic page so that developers can more easily learn about it.
To associate your repository with the hyperbolic-geometry topic, visit your repo's landing page and select "manage topics."