Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning

This is the demo code for the GUL framework

System requirement

Python 3.10.0

PyTorch 1.12.0
CUDA 11.6.1
torch-geometric 2.2.0
numpy   1.22.3
scikit-learn 1.6.1
scipy   1.15.1

For the MUTAG dataset, run with defualt setting

python3 main.py

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
data/MUTAG		data/MUTAG
.gitattributes		.gitattributes
README.md		README.md
data_loader.py		data_loader.py
layers.py		layers.py
main.py		main.py
model.py		model.py
utils.py		utils.py