ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.01640
  4. Cited By
Hierarchical Graph Neural Networks for Particle Track Reconstruction

Hierarchical Graph Neural Networks for Particle Track Reconstruction

3 March 2023
Ryan Liu
P. Calafiura
S. Farrell
X. Ju
D. Murnane
Tuan Minh Pham
ArXivPDFHTML

Papers citing "Hierarchical Graph Neural Networks for Particle Track Reconstruction"

4 / 4 papers shown
Title
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
William Sutcliffe
Marta Calvi
Simone Capelli
Jonas Eschle
J. G. Pardiñas
Abhijit Mathad
Azusa Uzuki
N. Serra
36
0
0
30 Apr 2025
Modeling the Real World with High-Density Visual Particle Dynamics
Modeling the Real World with High-Density Visual Particle Dynamics
William F. Whitney
Jacob Varley
Deepali Jain
Krzysztof Choromanski
Sumeet Singh
Vikas Sindhwani
30
2
0
28 Jun 2024
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
18
1
0
18 Mar 2024
Finetuning Foundation Models for Joint Analysis Optimization
Finetuning Foundation Models for Joint Analysis Optimization
M. Vigl
N. Hartman
L. Heinrich
35
12
0
24 Jan 2024
1