The HGCal upgrade to the CMS detector at the Large Hadron Collider produces complicated images of particles generated from collisions. Researchers are working to implement graph neural networks to optimize the analysis of this data to better identify and characterize particle interactions of interest. Image courtesy of Ziheng Chen, Northwestern University