Graph Neural Networks for IceCube Signal Classification

Graph Neural Networks for IceCube Signal Classification

17 September 2018

Joan Bruna

Papers citing "Graph Neural Networks for IceCube Signal Classification"

18 / 18 papers shown

Title
$Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network$ Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network Jai Bardhan Tanumoy Mandal Subhadip Mitra Cyrin Neeraj Mihir Rawat 28 0 0 12 May 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 50 0 0 04 Mar 2025
Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution Felix J. Yu Nicholas Kamp Carlos A. Arguelles 27 0 0 16 Aug 2024
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 35 32 0 07 Nov 2022
Rejecting noise in Baikal-GVD data with neural networks I. Kharuk G. Rubtsov G. Safronov 15 1 0 10 Oct 2022
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 35 0 0 08 Oct 2022
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 Z. Zhang P. Zhelnin 44 21 0 07 Sep 2022
Physics Community Needs, Tools, and Resources for Machine Learning Philip C. Harris E. Katsavounidis W. McCormack D. Rankin Yongbin Feng ... De-huai Chen Mark S. Neubauer Javier Mauricio Duarte G. Karagiorgi Miaoyuan Liu AI4CE 17 3 0 30 Mar 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 42 113 0 07 Dec 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks M. Schuetz J. K. Brubaker H. Katzgraber AI4CE 20 177 0 02 Jul 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Y. Xu J. Yáñez S. Yoshida T. Yuan Z. Zhang 33 46 0 27 Jan 2021
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 24 36 0 09 Dec 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 57 319 0 10 Feb 2020
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms Arjun Gupta Eliu A. Huerta Zhizhen Zhao I. Moussa 21 27 0 16 Dec 2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning Eliu A. Huerta Gabrielle Allen I. Andreoni J. Antelis E. Bachelet ... Wei Wei J. Wells T. Williams Jinjun Xiong Zhizhen Zhao AI4CE 23 71 0 26 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein S. Zafeiriou 3DH 13 145 0 13 Nov 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,236 0 24 Nov 2016