Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain
This paper presents an algorithm based on Graph Neural Network for charged-particle track reconstruction in the ATLAS Inner Tracker. Using realistic simulation data, we demonstrate the performance of the algorithm in comparison with the state-of-the-art technique.