This repository is the official implementation of our paper:
Daniele Zambon, Lorenzo Livi, Cesare Alippi. Graph iForest: Isolation of anomalous and outlier graphs. IEEE WCCI IJCNN 2022.
The code is implemented in Python 3.8. To install requirements:
pip install -r requirements.txt
To generate Figures 1 and 2 of the paper:
python draw_figures.py
instead, Table II, III, IV and V can obtained by running script gif_experiment.py passing the appropriate arguments or,
to run all experiments at once sequentially:
python run_all.py
Results are stored in folder results.