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Equivariant Graph Neural Networks for Charged Particle Tracking

Equivariant Graph Neural Networks for Charged Particle Tracking

11 April 2023
D. Murnane
S. Thais
Ameya Thete
ArXivPDFHTML

Papers citing "Equivariant Graph Neural Networks for Charged Particle Tracking"

3 / 3 papers shown
Title
NuGraph2: A Graph Neural Network for Neutrino Physics Event
  Reconstruction
NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction
V. Hewes
A. Aurisano
G. Cerati
J. Kowalkowski
C. Lee
W. Liao
D. Grzenda
K. Gumpula
Xiaohe Zhang
16
1
0
18 Mar 2024
A Comparison Between Invariant and Equivariant Classical and Quantum
  Graph Neural Networks
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
Roy T. Forestano
Marçal Comajoan Cara
Gopal Ramesh Dahale
Zhongtian Dong
S. Gleyzer
...
Kyoungchul Kong
Tom Magorsch
Konstantin T. Matchev
Katia Matcheva
Eyup B. Unlu
GNN
24
8
0
30 Nov 2023
Equivariance Is Not All You Need: Characterizing the Utility of
  Equivariant Graph Neural Networks for Particle Physics Tasks
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
S. Thais
D. Murnane
AI4CE
23
4
0
06 Nov 2023
1