| Understanding the representation power of graph neural networks in learning graph topology N Dehmamy, AL Barabási, R Yu Advances in Neural Information Processing Systems 32, 2019 | 88 | 2019 |
| On the universality of inner black hole mechanics and higher curvature gravity A Castro, N Dehmami, G Giribet, D Kastor Journal of High Energy Physics 2013 (7), 1-26, 2013 | 77 | 2013 |
| A structural transition in physical networks N Dehmamy, S Milanlouei, AL Barabási Nature 563 (7733), 676-680, 2018 | 40 | 2018 |
| Systemic stress test model for shared portfolio networks I Vodenska, N Dehmamy, AP Becker, SV Buldyrev, S Havlin Scientific reports 11 (1), 1-12, 2021 | 31* | 2021 |
| Understanding the onset of hot streaks across artistic, cultural, and scientific careers L Liu, N Dehmamy, J Chown, CL Giles, D Wang Nature communications 12 (1), 1-10, 2021 | 14 | 2021 |
| Finding patient zero: Learning contagion source with graph neural networks C Shah, N Dehmamy, N Perra, M Chinazzi, AL Barabási, A Vespignani, ... arXiv preprint arXiv:2006.11913, 2020 | 14 | 2020 |
| Isotopy and energy of physical networks Y Liu, N Dehmamy, AL Barabási Nature Physics 17 (2), 216-222, 2021 | 10 | 2021 |
| Automatic Symmetry Discovery with Lie Algebra Convolutional Network N Dehmamy, R Walters, Y Liu, D Wang, R Yu Advances in Neural Information Processing Systems 34, 2503-2515, 2021 | 8 | 2021 |
| Direct estimation of weights and efficient training of deep neural networks without sgd N Dehmamy, N Rohani, AK Katsaggelos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4* | 2019 |
| Vox2Net: From 3D Shapes to Network Sculptures N Dehmamy, L Stornaiuolo, M Martino Workshop on AI in Creativity and Design, NeurIPS 2018, 2018 | 2 | 2018 |
| Lie Algebra Convolutional Neural Networks with Automatic Symmetry Extraction N Dehmamy, Y Liu, R Walters, R Yu | 1 | 2020 |
| 3D topology transformation with generative adversarial networks L Stornaiuolo, N Dehmamy, AL Barabási, M Martino arXiv preprint arXiv:2007.03532, 2020 | 1 | 2020 |
| Modelling Axon Growth Using Driven Diffusion N Dehmamy, Y Liu Bulletin of the American Physical Society, 2019 | 1 | 2019 |
| Topology of tangledness of network embeddings Y Liu, N Dehmamy, AL Barabasi APS March Meeting Abstracts 2019, B56. 010, 2019 | 1 | 2019 |
| Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition N Dehmamy, N Rohani, A Katsaggelos Computing Research Repository 1703, 2017 | 1 | 2017 |
| First Principles and Effective Theory Approaches to Dynamics of Complex Networks N Dehmamy Boston University, 2016 | 1 | 2016 |
| Arbitrary degree distribution and high clustering in networks of locally interacting agents N Dianati, N Dehmamy arXiv preprint arXiv:1501.03543, 2015 | 1 | 2015 |
| Faster Optimization on Sparse Graphs via Neural Reparametrization N Dehmamy, C Both, J Long, R Yu arXiv preprint arXiv:2205.13624, 2022 | | 2022 |
| Symmetry Teleportation for Accelerated Optimization B Zhao, N Dehmamy, R Walters, R Yu arXiv preprint arXiv:2205.10637, 2022 | | 2022 |
| Accelerating Optimization using Neural Reparametrization N Dehmamy, C Both, J Long, R Yu | | 2021 |
Yanchen LiuNetwork Science Institute, Northeastern UniversityVerified email at northeastern.edu
