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Learning representations of irregular particle-detector geometry with
  distance-weighted graph networks
v1v2 (latest)

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

21 February 2019
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
ArXiv (abs)PDFHTML

Papers citing "Learning representations of irregular particle-detector geometry with distance-weighted graph networks"

41 / 41 papers shown
Architectural change in neural networks using fuzzy vertex pooling
Architectural change in neural networks using fuzzy vertex pooling
Shanookha Ali
Nitha Niralda
Sunil Mathew
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FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics
FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics
David K. Park
Shuhang Li
Y. Huang
Xihaier Luo
Haiwang Yu
...
Lu Ma
Shinjae Yoo
Joseph Osborn
Jin-zhi Huang
Zhongjing Jiang
AI4CE
88
1
0
13 Aug 2025
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
N. Kakati
Etienne Dreyer
Eilam Gross
AI4CE
245
2
0
24 Sep 2024
EggNet: An Evolving Graph-based Graph Attention Network for Particle
  Track Reconstruction
EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction
P. Calafiura
Jay Chan
Loic Delabrouille
Brandon Wang
VOT
186
5
0
18 Jul 2024
High Pileup Particle Tracking with Object Condensation
High Pileup Particle Tracking with Object Condensation
K. Lieret
G. Dezoort
Devdoot Chatterjee
Jian Park
Siqi Miao
Pan Li
VOT
166
11
0
06 Dec 2023
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron CalorimeterItalian National Conference on Sensors (INS), 2023
M. Asres
C. Omlin
Long Wang
David Yu
P. Parygin
...
Emanuele Usai
Muhammad Ahmad
J. Menendez
K. Maeshima
the CMS-HCAL Collaboration
226
10
0
07 Nov 2023
Graph Structure from Point Clouds: Geometric Attention is All You Need
Graph Structure from Point Clouds: Geometric Attention is All You Need
D. Murnane
GNN3DPC
200
4
0
31 Jul 2023
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis
Shuyong Wei
Nuo Xu
116
5
0
24 Apr 2023
Improving Table Structure Recognition with Visual-Alignment Sequential
  Coordinate Modeling
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate ModelingComputer Vision and Pattern Recognition (CVPR), 2023
Yongshuai Huang
Ning Lu
Dapeng Chen
Yibo Li
Zecheng Xie
Shenggao Zhu
Liangcai Gao
Wei Peng
383
42
0
13 Mar 2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets
EPiC-GAN: Equivariant Point Cloud Generation for Particle JetsSciPost Physics (SciPost Phys.), 2023
E. Buhmann
Gregor Kasieczka
Jesse Thaler
3DPC
416
53
0
17 Jan 2023
Do graph neural networks learn traditional jet substructure?
Do graph neural networks learn traditional jet substructure?
Farouk Mokhtar
Raghav Kansal
Javier Mauricio Duarte
GNN
168
11
0
17 Nov 2022
Jet tagging algorithm of graph network with HaarPooling message passing
Jet tagging algorithm of graph network with HaarPooling message passing
Fei Ma
Feiyi Liu
Wei Li
421
18
0
25 Oct 2022
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy
  Physics
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy PhysicsACM Transactions on Embedded Computing Systems (TECS), 2022
Zhiqiang Que
Hongxiang Fan
Marcus Loo
He Li
Michaela Blott
M. Pierini
A. Tapper
Wayne Luk
GNN
513
20
0
28 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphsNature Machine Intelligence (Nat. Mach. Intell.), 2022
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
578
137
0
07 Sep 2022
Partition Pooling for Convolutional Graph Network Applications in
  Particle Physics
Partition Pooling for Convolutional Graph Network Applications in Particle PhysicsJournal of Instrumentation (JINST), 2022
Markus Bachlechner
T. Birkenfeld
P. Soldin
A. Stahl
C. Wiebusch
115
4
0
11 Aug 2022
End-to-end multi-particle reconstruction in high occupancy imaging
  calorimeters with graph neural networks
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
S. Qasim
N. Chernyavskaya
J. Kieseler
K. Long
O. Viazlo
M. Pierini
R. Nawaz
349
26
0
04 Apr 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations,
  and Challenges
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
S. Thais
P. Calafiura
G. Chachamis
G. Dezoort
Javier Mauricio Duarte
S. Ganguly
Michael Kagan
D. Murnane
Mark S. Neubauer
K. Terao
PINNAI4CE
329
39
0
23 Mar 2022
Machine Learning for Particle Flow Reconstruction at CMS
Machine Learning for Particle Flow Reconstruction at CMS
J. Pata
Javier Mauricio Duarte
Farouk Mokhtar
Eric Wulff
J. Yoo
J. Vlimant
M. Pierini
M. Girone
282
28
0
01 Mar 2022
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Spatio-Temporal Latent Graph Structure Learning for Traffic ForecastingIEEE International Joint Conference on Neural Network (IJCNN), 2022
Jiabin Tang
Tang Qian
Shikun Liu
Shengdong Du
Jie Hu
Tianrui Li
AI4TS
125
24
0
25 Feb 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs
Graph Neural Networks for Charged Particle Tracking on FPGAs
Abdelrahman Elabd
Vesal Razavimaleki
Shih-Yu Huang
Javier Mauricio Duarte
M. Atkinson
...
Bo-Cheng Lai
Mark S. Neubauer
I. Ojalvo
S. Thais
Matthew Trahms
GNN
417
40
0
03 Dec 2021
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's
  Distance
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
S. Tsan
Raghav Kansal
Anthony Aportela
Daniel Madrigal Diaz
Javier Mauricio Duarte
S. Krishna
Farouk Mokhtar
J. Vlimant
M. Pierini
165
22
0
24 Nov 2021
Explaining machine-learned particle-flow reconstruction
Explaining machine-learned particle-flow reconstruction
Farouk Mokhtar
Raghav Kansal
Daniel Madrigal Diaz
Javier Mauricio Duarte
J. Pata
M. Pierini
J. Vlimant
AI4CE
180
18
0
24 Nov 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in ScienceFrontiers in Big Data (Front. Big Data), 2021
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
214
81
0
25 Oct 2021
Shared Data and Algorithms for Deep Learning in Fundamental Physics
Shared Data and Algorithms for Deep Learning in Fundamental Physics
L. Benato
E. Buhmann
M. Erdmann
P. Fackeldey
J. Glombitza
...
T. Kuhr
J. Steinheimer
H. Stocker
Tilman Plehn
K. Zhou
PINNOOD
196
16
0
01 Jul 2021
Current Status and Performance Analysis of Table Recognition in Document
  Images with Deep Neural Networks
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural NetworksIEEE Access (IEEE Access), 2021
K. Hashmi
Marcus Liwicki
D. Stricker
Muhammad Adnan Afzal
Muhammad Ahtsham Afzal
Muhammad Zeshan Afzal
LMTD
261
55
0
29 Apr 2021
Convolutions for Spatial Interaction Modeling
Convolutions for Spatial Interaction ModelingComputer Vision and Pattern Recognition (CVPR), 2021
Zhaoen Su
Chao Wang
David Bradley
Carlos Vallespi-Gonzalez
Carl K. Wellington
Nemanja Djuric
AI4CE
195
4
0
15 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy
  Physics
Graph Generative Models for Fast Detector Simulations in High Energy PhysicsEPJ Web of Conferences (EPJ Web Conf.), 2021
A. Hariri
Darya Dyachkova
Sergei Gleyzer
AI4CE
188
5
0
05 Apr 2021
Charged particle tracking via edge-classifying interaction networks
Charged particle tracking via edge-classifying interaction networksComputing and Software for Big Science (CSBS), 2021
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
241
55
0
30 Mar 2021
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle
  Tracking
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking
X. Ju
D. Murnane
P. Calafiura
Nicholas Choma
S. Conlon
...
Aditi Chauhan
A. Schuy
Shih-Chieh Hsu
A. Ballow
A. Lazar
210
81
0
11 Mar 2021
Point Cloud Transformers applied to Collider Physics
Point Cloud Transformers applied to Collider Physics
Vinicius Mikuni
F. Canelli
ViT
192
67
0
09 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2021
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNNSSL
326
186
0
09 Feb 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELMAI4CE
206
212
0
02 Feb 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph
  neural networks
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
510
83
0
21 Jan 2021
Table Structure Recognition using Top-Down and Bottom-Up Cues
Table Structure Recognition using Top-Down and Bottom-Up CuesEuropean Conference on Computer Vision (ECCV), 2020
S. Raja
Ajoy Mondal
C. V. Jawahar
LMTD
213
90
0
09 Oct 2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle
  Reconstruction in High Energy Physics
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy PhysicsFrontiers in Big Data (Front. Big Data), 2020
Y. Iiyama
G. Cerminara
Abhijay Gupta
J. Kieseler
Vladimir Loncar
...
Miaoyuan Liu
K. Pedro
N. Tran
E. Kreinar
Zhenbin Wu
204
77
0
08 Aug 2020
GPU coprocessors as a service for deep learning inference in high energy
  physics
GPU coprocessors as a service for deep learning inference in high energy physics
J. Krupa
Kelvin Lin
M. Acosta Flechas
Jack T. Dinsmore
Javier Mauricio Duarte
...
K. Pedro
D. Rankin
Natchanon Suaysom
Matthew Trahms
N. Tran
BDL3DV
329
35
0
20 Jul 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning
  of Computational Physics Data using Unstructured Spatial Discretizations
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial DiscretizationsSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.), 2020
John Tencer
Kevin Potter
AI4CE
232
13
0
11 Jun 2020
Towards a Computer Vision Particle Flow
Towards a Computer Vision Particle Flow
F. Bello
S. Ganguly
Eilam Gross
Marumi Kado
M. Pitt
Lorenzo Santi
Jonathan Shlomi
401
50
0
19 Mar 2020
A Dynamic Reduction Network for Point Clouds
A Dynamic Reduction Network for Point Clouds
L. Gray
T. Klijnsma
Shamik Ghosh
3DPCGNN
166
10
0
18 Mar 2020
Object condensation: one-stage grid-free multi-object reconstruction in
  physics detectors, graph and image data
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
J. Kieseler
3DPC
185
57
0
10 Feb 2020
Rethinking Table Recognition using Graph Neural Networks
Rethinking Table Recognition using Graph Neural Networks
S. Qasim
Hassan Mahmood
Faisal Shafait
GNNLMTD
89
14
0
31 May 2019
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