Graph Neural Networks for IceCube Signal Classification. - Nicholas Choma; Federico Monti; Lisa Gerhardt; Tomasz Palczewski; Zahra Ronaghi; Prabhat; Wahid Bhimji; Michael M. Bronstein; Spencer R. Klein; Joan Bruna (ICMLA, 2018)

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)

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. - Yulun Wu; Nicholas Choma; Andrew Deru Chen; Mikaela Cashman; Érica Teixeira Prates; Verónica G. Melesse Vergara; Manesh Shah; Austin Clyde; Thomas S. Brettin; Wibe Albert de Jong; Neeraj Kumar; Martha S. Head; et al. (ICLR, 2022)

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