Equivariant Graph Neural Networks for Charged Particle Tracking

1 code implementation • 11 Apr 2023 • Daniel Murnane, Savannah Thais, Ameya Thete

Graph neural networks (GNNs) have gained traction in high-energy physics (HEP) for their potential to improve accuracy and scalability.