Cover Image

EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Calafiura, Paolo, Chan, Jay, Delabrouille, Loic, Wang, Brandon
Format:	Preprint
Published:	2024
Subjects:	Data Analysis, Statistics and Probability Machine Learning High Energy Physics - Phenomenology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics and Computing Performance of the EggNet Tracking Pipeline
by: Chan, Jay, et al.
Published: (2025)

Double Metric Learning for Building Directed Graphs with Chain Connections for the ATLAS ITk Detector
by: Chan, Jay
Published: (2026)

Uncertainty Quantification and Propagation for ACORN, a geometric deep learning tracking pipeline for HEP experiments
by: Péron, Lukas, et al.
Published: (2025)

Graph Neural Network-based Tracking as a Service
by: Zhao, Haoran, et al.
Published: (2024)

Why Is Attention Sparse In Particle Transformer?
by: Legge, Timothy, et al.
Published: (2025)

PanopTag: Simultaneously Tagging All Jets in a Particle Collision Event
by: Qureshi, Umar Sohail, et al.
Published: (2026)

Graph theory inspired anomaly detection at the LHC
by: Araz, Jack Y., et al.
Published: (2025)

Jet Tagging with More-Interaction Particle Transformer
by: Wu, Yifan, et al.
Published: (2024)

Jet flavor tagging with Particle Transformer for Higgs factories
by: Suehara, Taikan, et al.
Published: (2026)

Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-Francois, et al.
Published: (2025)

Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
by: Dreyer, Etienne, et al.
Published: (2024)

Signal model parameter scan using Normalizing Flow
by: Saito, Masahiko, et al.
Published: (2024)

The role of the Look Elsewhere Effect in determining the significance of an oscillation disappearance search for a light sterile neutrino
by: Ranucci, Gioacchino
Published: (2024)

Variance Reduction via Simultaneous Importance Sampling and Control Variates Techniques Using Vegas
by: Shyamsundar, Prasanth, et al.
Published: (2023)

QCD in Language Models: What do they really know about QCD?
by: Sulc, Antonin, et al.
Published: (2025)

End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II
by: Reuter, Lea, et al.
Published: (2024)

Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
by: Sutcliffe, William, et al.
Published: (2025)

Particle Transformer for Jet Tagging
by: Qu, Huilin, et al.
Published: (2022)

Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference
by: Chatterjee, Atrideb, et al.
Published: (2025)

Classifier Surrogates: Sharing AI-based Searches with the World
by: Bieringer, Sebastian, et al.
Published: (2024)

The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
by: Golling, Tobias, et al.
Published: (2023)

Double Descent and Overparameterization in Particle Physics Data
by: Vigl, Matthias, et al.
Published: (2025)

Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods
by: Backes, Mathias, et al.
Published: (2023)

On Focusing Statistical Power for Searches and Measurements in Particle Physics
by: Carzon, James, et al.
Published: (2025)

CNN on `Top': In Search of Scalable & Lightweight Image-based Jet Taggers
by: Baruah, Rajneil, et al.
Published: (2025)

Graph Neural Network for Neutrino Physics Event Reconstruction
by: Hewes, V, et al.
Published: (2024)

Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning
by: Gandrakota, Abhijith, et al.
Published: (2024)

Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions
by: Krzmanc, Gregor, et al.
Published: (2026)

Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
by: Birk, Joschka, et al.
Published: (2023)

FAIR Universe HiggsML Uncertainty Dataset and Competition
by: Benato, Lisa, et al.
Published: (2024)

Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models
by: Golling, Tobias, et al.
Published: (2024)

Graph Neural Network-Based Track Finding in the LHCb Vertex Detector
by: Correia, Anthony, et al.
Published: (2024)

Graph Neural Network-Based Pipeline for Track Finding in the Velo at LHCb
by: Correia, Anthony, et al.
Published: (2024)

An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
by: Backes, Mathias, et al.
Published: (2022)

Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks
by: Li, Haoyang, et al.
Published: (2024)

Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
by: Kofler, Annalena, et al.
Published: (2024)

Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them
by: Wilkinson, Jeremy J. H., et al.
Published: (2024)

FlexCAST: Enabling Flexible Scientific Data Analyses
by: Nachman, Benjamin, et al.
Published: (2025)

Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
by: Gambhir, Rikab, et al.
Published: (2025)

Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
by: Benato, Lisa, et al.
Published: (2025)