qwgc stands for Quantum Walk Graph Classifier. This project aims to classify graph data with high accuracy. The key ideas of quantum machine learning and quantum walk are here.
First, clone remote repository to your local.
git clone https://github.com/qwqmlf/qwgc.git
and then,
cd qwgc
pip install -e .
If you don't have any errors, your build is success.
experiments.toml is the configuration (Hyper parameter) for QWGC.
Put hyper parameters and then run
cd qwgc
python QWGC.py
(This simulation may take a long time to finish)
Here is the tutorials how to use this (Japanese).
This project is supported by IPA mitou target project.