The following steps are required to install KGGen:
1. Environmental preparation
- operating system: Windows, MacOS and Linux are supported.
- Python version: Python 3.8 or higher is recommended.
- Git Tools: Used to clone the code base locally.
2. Cloning the code base
Execute the following command in the terminal:
git clone https://github.com/stair-lab/kg-gen.git cd kg-gen
3. Installation of dependencies
Install dependency packages via pip or conda:
- pip method: Direct Run
pip install -r requirements.txt - conda approach: It is recommended to create the virtual environment first:
conda create -n kggen python=3.8 conda activate kggen pip install -r requirements.txt
4. Verification of installation
Enter the following code in the Python interpreter, if the version number is output then it is successful:
import kg_gen print(kg_gen.__version__)
Note: It is recommended to configure at least 8GB of RAM when working with long text and make sure to pull updates from GitHub on a regular basis.
This answer comes from the articleKG Gen: an open source tool for automatic knowledge graph generation from plain textThe





























