Partition pooling for convolutional graph network applications in particle physics
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DOI: 10.1088/1748-0221/17/10/p10004
Abstract: Convolutional graph networks are used in particle physics for effective event reconstructions and classifications. However, their performances can be limited by the considerable amount of sensors used in modern particle detectors if applied to sensor-level… read more here.
Keywords: network; physics; convolutional graph; particle physics ... See more keywords