Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. - Pranav Maneriker; Aditya Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (CoRR, 2024)

Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks. - Yuntian He; Pranav Maneriker; Anutam Srinivasan; Aditya Vadlamani; Srinivasan Parthasarathy 001 (CoRR, 2024)

A Generic Framework for Conformal Fairness. - Aditya T. Vadlamani; Anutam Srinivasan; Pranav Maneriker; Ali Payani; Srinivasan Parthasarathy 001 (ICLR, 2025)

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs. - Pranav Maneriker; Aditya T. Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (Trans. Mach. Learn. Res., 2025)