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Publications
Publications
  • 2021
  • Chapter
  • Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence

Towards a Unified Framework for Fair and Stable Graph Representation Learning

By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
  • Format:Electronic
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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.
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About The Author

Himabindu Lakkaraju

Technology and Operations Management
→More Publications

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    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
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    • 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
More from the Authors
  • Altibbi: Revolutionizing Telehealth Using AI By: Himabindu Lakkaraju
  • 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
  • Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods. By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
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