Repository for the AugmentedPCA Python package.

Code and data for our demo "Efficient Fair Graph Representation Learning Using a Multi-level Framework" in WWW ’23.

📝 Exploring the gradual (in)compatibility of the fairness metrics independence, separation and sufficiency.

Code associated to our manuscript titled `Fair automated assessment of noncompliance in cargo ship networks'

📝 Implementation of our approach for balancing the utility of the decision maker and the fairness towards the decision subjects for a prediction-based decision-making system