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A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics.
Emanuel Pfeffer
Michael Waßmer
Yee-Ying Cung
Roger Wolf
Ulrich Husemann
Published in:
CoRR (2024)
Keyphrases
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high energy
particle physics
neural network
pattern recognition
conservation laws
graph representation
directed graph
higher order
weighted graph
graph model
adjacency matrix
input image
markov random field
sample size
graph matching