Track Seeding and Labelling with Embedded-space Graph Neural Networks. - Nicholas Choma; Daniel Murnane; Xiangyang Ju; Paolo Calafiura; Sean Conlon; Steven Farrell; Prabhat; Giuseppe Cerati; Lindsey Gray; Thomas Klijnsma; Jim Kowalkowski; Panagiotis Spentzouris; et al. (CoRR, 2020)

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. - Xiangyang Ju; Daniel Murnane; Paolo Calafiura; Nicholas Choma; Sean Conlon; Steven Farrell; Yaoyuan Xu; Maria Spiropulu; Jean-Roch Vlimant; Adam Aurisano; Jeremy Hewes; Giuseppe Cerati; et al. (CoRR, 2021)

Semi-Equivariant GNN Architectures for Jet Tagging. - Daniel Murnane; Savannah Thais; Jason Wong (CoRR, 2022)

Symmetry Group Equivariant Architectures for Physics. - Alexander Bogatskiy; Sanmay Ganguly; Thomas Kipf; Risi Kondor; David W. Miller; Daniel Murnane; Jan T. Offermann; Mariel Pettee; Phiala E. Shanahan; Chase Shimmin; Savannah Thais (CoRR, 2022)

Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges. - Savannah Thais; Paolo Calafiura; Grigorios Chachamis; Gage DeZoort; Javier M. Duarte; Sanmay Ganguly; Michael Kagan; Daniel Murnane; Mark S. Neubauer; Kazuhiro Terao (CoRR, 2022)

Benchmarking GPU and TPU Performance with Graph Neural Networks. - Xiangyang Ju; Yunsong Wang; Daniel Murnane; Nicholas Choma; Steven Farrell; Paolo Calafiura (CoRR, 2022)

Hierarchical Graph Neural Networks for Particle Track Reconstruction. - Ryan Liu; Paolo Calafiura; Steven Farrell; Xiangyang Ju; Daniel Thomas Murnane; Tuan Minh Pham (CoRR, 2023)

Equivariant Graph Neural Networks for Charged Particle Tracking. - Daniel Murnane; Savannah Thais; Ameya Thete (CoRR, 2023)

Graph Structure from Point Clouds: Geometric Attention is All You Need. - Daniel Murnane (CoRR, 2023)

Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks. - Savannah Thais; Daniel Murnane (CoRR, 2023)

A Language Model for Particle Tracking. - Andris Huang; Yash Melkani; Paolo Calafiura; Alina Lazar; Daniel Thomas Murnane; Minh-Tuan Pham; Xiangyang Ju (CoRR, 2024)