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GraphNeT: Graph neural networks for neutrino telescope event
  reconstruction

GraphNeT: Graph neural networks for neutrino telescope event reconstruction

21 October 2022
A. Søgaard
Rasmus F. Ørsøe
Leon Bozianu
Morten Holm
Kaare Endrup Iversen
Tim Guggenmos
M. H. Minh
P. Eller
T. Petersen
ArXivPDFHTML

Papers citing "GraphNeT: Graph neural networks for neutrino telescope event reconstruction"

4 / 4 papers shown
Title
Graph Neural Networks for Low-Energy Event Classification &
  Reconstruction in IceCube
Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube
R. Abbasi
M. Ackermann
J. Adams
N. Aggarwal
J. Aguilar
...
S. Yoshida
S. Yu
T. Yuan
Zheng Zhang
P. Zhelnin
68
22
0
07 Sep 2022
A Convolutional Neural Network based Cascade Reconstruction for the
  IceCube Neutrino Observatory
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory
R. Abbasi
M. Ackermann
J. Adams
J. Aguilar
M. Ahlers
...
Zifei Shan
J. Yáñez
S. Yoshida
T. Yuan
Zheng Zhang
51
48
0
27 Jan 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
496
42,449
0
03 Dec 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
226
4,341
0
06 Mar 2019
1