Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
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Updated
Mar 11, 2024 - Python
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
This is a repository to investigation how to generate music based in Hyperbolic Embeddings
Mixed-curv VAE with new functionalities
Learning joint Euclidean and hyperbolic graph representations. Codes for "Joint hyperbolic and Euclidean geometry contrastive graph neural networks" published in Information Sciences
About utilizing Hyperbolic space on NLP tasks.
C++ implementation of TreeRep algorithm from Sonathalia & Gilbert "Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding"
Geometric Deep Learning bachelor thesis project and notes
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.
[EMNLP'21 Findings] HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"
Improved Embedded Topic Models in Hyperbolic Space
Conformal Geometry Stonybrook 2020 final project
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
Learning Tree structures and Tree metrics
Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
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