code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
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Updated
Oct 3, 2023 - Python
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
Taxonomy refinement method to improve domain-specific taxonomy systems.
Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
Train poincare embedding using gensim
K-Means algorithm in the Poincare Disk Model
A "navigator" for exploring 2-dimensional hyperbolic space using the Poincaré disc model. The entire graph or point configuration can be translated and rotated by dragging the ambient, and individual points can be moved, too.
CS-663 Course Project
Hierarchical Book Recommendations
ENSAE - Geometric Methods in Machine Learning Course - Poincaré embeddings from 'Poincaré Embeddings for Learning Hierarchical Representations' by Maximilian Nickel and Douwe Kiela
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
Implementation of Poincaré embeddings in PyTorch for learning hierarchical representations in hyperbolic space.
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