most citedAccelerating the Inference of the Exa.TrkX Pipeline

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

physics.ins-det2022★ 15 cited

Accelerating the Inference of the Exa.TrkX Pipeline

Alina Lazar, Xiangyang Ju, Daniel Murnane +21

Recently, graph neural networks (GNNs) have been successfully used for a variety of particle reconstruction problems in high energy physics, including particle tracking. The Exa.Tr…