Intellectual Property India Publishes Patent Application for Lyapunov-Stable Bayesian Trust Propagation Graph Neural Network For Uncertainty-Aware Credibility Assessment In Dynamic Interaction Networks

MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641068874 A) filed by Shiek Ruksana on June 01, 2026, for Lyapunov-Stable Bayesian Trust Propagation Graph Neural Network For Uncertainty-Aware Credibility Assessment In Dynamic Interaction Networks.

Inventors include Shiek Ruksana; and Pavan Kumar Karedla.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: A computer-implemented system and method for trust, risk, and credibility assessment in dynamic interaction networks is disclosed. The invention constructs a graph representation comprising entities, interactions, transactions, content, resources, and associated relationships. A Bayesian Graph Neu...