A python project for creating synthetic data for egdge prediction in semantic knowledge graph.

Installation

The project is written in Python and uses uv. You can install the necessary dependencies in a virtual environment like this:

git clone git@github.com:clairelaudy/ValidationGraphGeneration.git
uv sync
touch config/env.sh

ROBOT (from OBO project) has to be installed. Follow the instruction given here: http://robot.obolibrary.org/

To run the project, just run one of the script in bin/. From those scripts, uv will create a virtual environment according to pyproject.toml and activate it when running the project.

If you need to setup environment variables specifically for the project, you can put them in config/env.sh. An example is given in config/env-dist.sh