Author

Rachit Verma

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#artificial intelligence Preprint Sep 2026

Controllable GNN Explanations via Multi-Metric Preference Selection

This work proposes a novel approach that optimizes GNN explanations across metrics, exposing their relative weighing as a control, and explores how, given an input motif library containing standard motifs for the corresponding domain, the method can be used to determine the relative importance of those motifs.

Rachit Verma, Yashraj Deshmukh, A. Dasgupta · 0 citations

Preprint Aug 2026

Fairness Auditing: Lower Bounds on Company Manipulation

This work forms fairness auditing as a min-max optimization between a computationally unbounded company and a budget-constrained auditor, and demonstrates that increasing audit resources reduces, but does not eliminate, the scope for post-audit manipulation.

Rachit Verma, P. Manisha, Sujit Gujar · 0 citations