A detector-agnostic deep learning library for neutrino telescopes is updated to support multiple model architectures and experiment-specific data conversion.
Improvement in Fast Particle Track Reconstruction with Robust Statis- tics
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GraphNeT 2.0 -- A Deep Learning Library for Neutrino Telescopes
A detector-agnostic deep learning library for neutrino telescopes is updated to support multiple model architectures and experiment-specific data conversion.