arpitdm/gnn_accuracy_fairness_tradeoff: v0.1.0-alpha

Reference code and data for analyzing the tradeoff between accuracy and algorithmic fairness on graph neural networks for node classification. This repository provides support for downloading and preprocessing four datasets (German, Credit, Penn94, and Pokec-Z), building and training three GNN models (GCN, GraphSAGE, and GIN), and implementing algorithmic fairness interventions including PFR-AX and PostProcess (ours), Unaware, EDITS, and NIFTY (baselines).