Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation

This repository contains the implementation of the paper: "Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation".

Table of Contents

• Introduction
• Requirements
• Installation
• Usage
• Citation
• Contributing
• License
• Contact

Introduction

This project implements the algorithm described in the paper "Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation". The goal is to provide an efficient and scalable method for matrix decomposition and representation.

Requirements

The required dependencies are listed in the requirements.yml file. You can create a conda environment with these dependencies.

Installation

To set up the environment and install the required dependencies, follow these steps:

1. Clone the repository:

   git clone https://github.com/ptdang1001/RPSP.git
   cd RPSP

2. Create a conda environment using the requirements.yml file:

   conda env create -f requirements.yml

3. Activate the environment:

   conda activate rpsp

Usage

To run the code, use the following command:

python main.py

Make sure to customize any parameters or configurations in the main.py file as needed for your specific use case.

Citation

If you use this code in your research, please cite the following paper:

@inproceedings{dang2023generalized,
  title={Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation},
  author={Dang, Pengtao and Zhu, Haiqi and Guo, Tingbo and Wan, Changlin and Zhao, Tong and Salama, Paul and Wang, Yijie and Cao, Sha and Zhang, Chi},
  booktitle={Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={390--401},
  year={2023}
}

Contributing

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any questions or issues, please contact zhangchi@ohsu.edu/dangpe@ohsu.edu