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A ROOT feature for parsing PyTorch Geometric graph neural networks into C++ code for fast inference

Graph neural networks have proven effective in many different fields — including particle physics — and are typically trained using Python tools such as PyTorch Geometric. For deployment, however, it is often desirable to move away from Python and run fast inference in a high-performance environment...

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Detalles Bibliográficos
Autor principal: Van Berkum, Stefan
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2868483