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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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| Lenguaje: | eng |
| Publicado: |
2023
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| Acceso en línea: | http://cds.cern.ch/record/2868483 |