Composition Study of Cosmic Rays with IceCube Observatory using Graph Neural Networks

An overview talk of ongoing PhD-work, given to a national-wide meeting of researchers working in the area of Particle-Physics, Radiation and Medical Physics, Accelerator Physics and Modern IT and Artificial Intelligence. The talk was given in the Data Analysis and Information Technology session and discussed about the Graph Neural Network based implementation for doing Cosmic-Ray Composition Analysis.