Anomaly detection with convolutional Graph Neural Networks (2021)
Attributed to:
Phenomenology from lattice QCD and collider physics
funded by
STFC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1007/jhep08(2021)080
Publication URI: http://dx.doi.org/10.1007/jhep08(2021)080
Type: Journal Article/Review
Parent Publication: Journal of High Energy Physics
Issue: 8