On simulated GlueX Forward Drift Chamber data, a GNN edge classifier reaches 0.9806 segment efficiency at 0.9462 purity versus 0.9119 for the traditional method, with batched GPU inference at 44 microseconds per event versus 152.
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Geometric GNNs for Charged Particle Tracking at GlueX
On simulated GlueX Forward Drift Chamber data, a GNN edge classifier reaches 0.9806 segment efficiency at 0.9462 purity versus 0.9119 for the traditional method, with batched GPU inference at 44 microseconds per event versus 152.