6 citations · 7 across the 3 of their papers we have counts for
3 papers
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana
Anomaly detection is fundamental yet, challenging problem with practical applications in industry. The current approaches neglect the higher-order dependencies within the networks…
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Sreeja Gangasani +1
Material characterization using electron micrographs is a crucial but challenging task with applications in various fields, such as semiconductors, quantum materials, batteries, et…
PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
Rajat Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav +2
Computational Fluid Dynamics (CFD) serves as a powerful tool for simulating fluid flow across diverse industries. High-resolution CFD simulations offer valuable insights into fluid…