Towards a Unified Framework for Fair and Stable Graph Representation Learning

By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik

Citation

Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence. AUAI Press, 2021.

Technology and Operations Management

- May 2022
- Faculty Research
Altibbi: Revolutionizing Telehealth Using AI

By: Himabindu Lakkaraju
- 2022
- Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
- 2022
- Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.

By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju