# CCLDA

**Repository Path**: Tomhappy/CCLDA

## Basic Information

- **Project Name**: CCLDA
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-04-11
- **Last Updated**: 2026-04-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CCLDA
prediction of lncRNA-disease associations based on Convolutional Block Attention Module and Capsule Network

The _Code_, _Datasets_ directories contain model codes and tested data sets, respectively. 
The package versions should be followed by users in their environments to achieve the supposed performance.

## Dependency:

python 3.9.16

## Requirement:

numpy==1.22.0    

matplotlib==3.6.3    

torch==1.12.0+cu113    

torch-geometric==2.3.0   

networkx==3.0    

pandas==1.5.3    

scipy ==1.10.0    

scikit-learn==1.2.1

## How to run

The program is in Python 3.9.16 using [Pytorch] backends. Use the below bash command to run CCLDA.

```bash
    python main.py -d dataset
```

## Reference:

(If using this code , please cite our paper.)    

CCLDA: prediction of lncRNA-disease associations based on Convolutional Block Attention Module and Capsule Network

## Contact: tanjianjun@bjut.edu.cn