most citedPre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery

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hep-ex2026

HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction

Siqi Miao, Shitij Govil, Jack P. Rodgers +5

Charged-particle tracking -- reconstructing trajectories from sparse detector measurements -- is a fundamental high-energy-physics inference problem and a canonical example of lear…

hep-ex2025

Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction

Shitij Govil, Jack P. Rodgers, Yuan-Tang Chou +9

Charged particle track reconstruction is a foundational task in collider experiments and the main computational bottleneck in particle reconstruction. Graph neural networks (GNNs)…