New Paper Accepted at UAI

Published: May 15, 2021

Our unified framework for fair and stable graph representation learning has just been accepted at UAI. We establish a theoretical connection between counterfactual fairness and stability and use it in a framework that can be used with any GNN to learn fair and stable embeddings.

Zitnik Lab  ·  Harvard  ·  Department of Biomedical Informatics