Learning Tree structures and Tree metrics
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Updated
Aug 8, 2024 - Jupyter Notebook
Learning Tree structures and Tree metrics
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.
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
Feature-aware ultra-low dimensional reduction of real networks
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
Official PyTorch implementation for Co-Manifold Learning for Semi-supervised Medical Image Segmentation
This is a repository to investigation how to generate music based in Hyperbolic Embeddings
PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"
PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"
Mixed-curv VAE with new functionalities
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Code for the paper Learning the Predictability of the Future (CVPR 2021)
Improved Embedded Topic Models in Hyperbolic Space
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.
[EMNLP'21 Findings] HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
Hyperbolic Image Segmentation, CVPR 2022
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