Metadata-Version: 2.4
Name: semantic-embeddings
Version: 0.1.0
Summary: Package for creating rank-based semantic and contextual embeddings.
Author-email: Thiago César Castilho Almeida <tc.almeida@unesp.br>, Lucas Pascotti Valem <lucaspascottivalem@gmail.com>, Daniel Carlos Guimarães Pedronette <pedronette@gmail.com>
License: GPL-2.0
Keywords: semantic,graph embedding,dimensionality reduction,ranking,unsupervised learning
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: tqdm
Dynamic: license-file

# semantic-embeddings

Package for creating rank-based semantic and contextual embeddings via RaDE and GRaCE algorithms.

## Features

- **Rank-based Graph Embedding**  
  No costly optimization—embeddings derive solely from top-K ranked similarity lists.
- **High-Effectiveness Representatives**  
  Selects “leader” nodes by rank-based measures to act as semantically meaningful dimensions.
- **Interpretable Embeddings**  
  Each vector dimension corresponds to similarity to a representative node.

## Installation

```bash
pip install semantic-embeddings
