Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2007.00149
Cited By

Track Seeding and Labelling with Embedded-space Graph Neural Networks

Track Seeding and Labelling with Embedded-space Graph Neural Networks

30 June 2020

ArXiv (abs)PDF HTML

Papers citing "Track Seeding and Labelling with Embedded-space Graph Neural Networks"

13 / 13 papers shown

Benchmarking GPU and TPU Performance with Graph Neural Networks

Benchmarking GPU and TPU Performance with Graph Neural Networks

156

4

0

21 Oct 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

N. Chernyavskaya

421

27

0

04 Apr 2022

Machine Learning for Particle Flow Reconstruction at CMS

Machine Learning for Particle Flow Reconstruction at CMS

Javier Mauricio Duarte

395

30

0

01 Mar 2022

Explaining machine-learned particle-flow reconstruction

Explaining machine-learned particle-flow reconstruction

Raghav Kansal

Daniel Madrigal Diaz

Javier Mauricio Duarte

211

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

G. D. Guglielmo

...

292

85

0

25 Oct 2021

Shared Data and Algorithms for Deep Learning in Fundamental Physics

Shared Data and Algorithms for Deep Learning in Fundamental Physics

...

339

16

0

01 Jul 2021

The Tracking Machine Learning challenge : Throughput phase

The Tracking Machine Learning challenge : Throughput phaseComputing and Software for Big Science (CSBS), 2021

...

Andrey Ustyuzhanin

530

40

0

03 May 2021

Segmentation of EM showers for neutrino experiments with deep graph
neural networks

Segmentation of EM showers for neutrino experiments with deep graph neural networksJournal of Instrumentation (JINST), 2021

Ekaterina Trofimova

Andrey Ustyuzhanin

547

3

0

05 Apr 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

...

299

84

0

11 Mar 2021

A Living Review of Machine Learning for Particle Physics

A Living Review of Machine Learning for Particle Physics

Matthew Feickert

Benjamin Nachman

244

227

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

Javier Mauricio Duarte

654

86

0

21 Jan 2021

Beyond 4D Tracking: Using Cluster Shapes for Track Seeding

Beyond 4D Tracking: Using Cluster Shapes for Track Seeding

Benjamin Nachman

172

8

0

08 Dec 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

M. Acosta Flechas

Jack T. Dinsmore

Javier Mauricio Duarte

...

Natchanon Suaysom

392

36

0

20 Jul 2020

Page 1 of 1