| Graph neural networks for icecube signal classification N Choma, F Monti, L Gerhardt, T Palczewski, Z Ronaghi, P Prabhat, ... 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 85 | 2018 |
| Performance of a geometric deep learning pipeline for HL-LHC particle tracking X Ju, D Murnane, P Calafiura, N Choma, S Conlon, S Farrell, Y Xu, ... The European Physical Journal C 81, 1-14, 2021 | 76 | 2021 |
| Track seeding and labelling with embedded-space graph neural networks N Choma, D Murnane, X Ju, P Calafiura, S Conlon, S Farrell, G Cerati, ... arXiv preprint arXiv:2007.00149, 2020 | 20 | 2020 |
| Spatial graph attention and curiosity-driven policy for antiviral drug discovery Y Wu, M Cashman, N Choma, ET Prates, VGM Vergara, M Shah, A Chen, ... arXiv preprint arXiv:2106.02190, 2021 | 11 | 2021 |
| Prabhat, Wahid Bhimji, Michael M N Choma, F Monti, L Gerhardt, T Palczewski, Z Ronaghi Bronstein, Spencer R. Klein, and Joan Bruna. Graph neural networks for …, 2018 | 6 | 2018 |
| Graph neural networks for icecube signal classification (2018) N Choma, F Monti, L Gerhardt, T Palczewski, Z Ronaghi, WB Prabhat, ... arXiv preprint arXiv:1809.06166, 1809 | 6 | 1809 |
| Benchmarking GPU and TPU Performance with Graph Neural Networks Y Wang, D Murnane, N Choma, S Farrell, P Calafiura arXiv preprint arXiv:2210.12247, 2022 | 1 | 2022 |
| Ice Cube experiment ATLAS experiment V Ayyar, W Bhimji, N Choma, L Gerhardt, S Robertson, Z Ronaghi | | |
