Speaker
Huilin Qu
(CERN)
Description
Graph neural networks (GNNs) have shown a lot of potential for jet tagging. Recent GNN algorithms such as ParticleNet, ABCNet, and LundNet represent the state-of-the-art in various jet tagging tasks. In this talk, we present some new progress on GNN design for jet tagging. With the incorporation of edge features and optimized network architecture, the new algorithm achieves a significant performance improvement on the top tagging benchmark.
| Affiliation | CERN |
|---|---|
| Academic Rank | Postdoctoral researcher |
Author
Huilin Qu
(CERN)
