Anomaly detection with convolutional Graph Neural Networks

Anomaly detection with convolutional Graph Neural Networks

Abstract We devise an autoencoder based strategy to facilitate anomaly detection for boosted jets, employing Graph Neural Networks (GNNs) to do so. To overcome known limitations of GNN autoencoders, we design a symmetric decoder capable of simultaneously reconstructing edge features and node feature...

Full description

Bibliographic Details
Main Authors: Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Vishal S. Ngairangbam, Michael Spannowsky
Format: Article
Language:English
Published: SpringerOpen 2021-08-01
Series:Journal of High Energy Physics
Subjects:
Jets
Online Access:https://doi.org/10.1007/JHEP08(2021)080

Internet

https://doi.org/10.1007/JHEP08(2021)080

Similar Items