This is a repository to investigation how to generate music based in Hyperbolic Embeddings
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Updated
May 2, 2024 - Python
This is a repository to investigation how to generate music based in Hyperbolic Embeddings
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
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)
Learning Tree structures and Tree metrics
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
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
Facilitating learning, using, and designing graph processing pipelines/models systematically.
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.
Learning joint Euclidean and hyperbolic graph representations. Codes for "Joint hyperbolic and Euclidean geometry contrastive graph neural networks" published in Information Sciences
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