most citedA case study of sending graph neural networks back to the test bench for applications in high-energy particle physics

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

hep-ph2024★ 2 cited

A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics

Emanuel Pfeffer, Michael Waßmer, Yee-Ying Cung +2

In high-energy particle collisions, the primary collision products usually decay further resulting in tree-like, hierarchical structures with a priori unknown multiplicity. At the…