Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Venkataramana Runkana (IEEE Big Data, 2022)

Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations. - Rajat Kumar Sarkar; Ritam Majumdar; Vishal Jadhav; Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2023)

PointSAGE: Mesh-independent superresolution approach to fluid flow predictions. - Rajat Kumar Sarkar; Krishna Sai Sudhir Aripirala; Vishal Sudam Jadhav; Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2024)

Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Venkataramana Runkana (CoRR, 2024)

Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Sreeja Gangasani; Venkataramana Runkana (CoRR, 2024)

EMCNet : Graph-Nets for Electron Micrographs Classification. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Venkataramana Runkana (CoRR, 2024)