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Christopher Brissette, PhD
Christopher Brissette, PhD
Solutions Architect, NVIDIA
Verified email at nvidia.com
Title
Cited by
Cited by
Year
Parallel generation of simple null graph models
J Garbus, C Brissette, GM Slota
2020 IEEE International Parallel and Distributed Processing Symposium …, 2020
72020
Greedy Fiedler Spectral Partitioning for Data-driven Discrete Exterior Calculus
XH Andy Huang, Nathaniel Trask, Christopher Brissette
AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine …, 2021
6*2021
Limitations of Chung Lu random graph generation
C Brissette, G Slota
Complex Networks & Their Applications X: Volume 1, Proceedings of the Tenth …, 2022
42022
Spectrum consistent coarsening approximates edge weights
C Brissette, A Huang, G Slota
SIAM Journal on Matrix Analysis and Applications 44 (3), 1032-1046, 2023
32023
Correcting output degree sequences in Chung-Lu random graph generation
C Brissette, D Liu, GM Slota
International Conference on Complex Networks and Their Applications, 69-80, 2022
32022
Parallel coarsening of graph data with spectral guarantees
C Brissette, A Huang, G Slota
arXiv preprint arXiv:2204.11757, 2022
32022
Effects of Null Model Choice on Modularity Maximization
C Brissette, U Pandey, GM Slota
International Conference on Complex Networks and Their Applications, 261-272, 2023
12023
Heuristic assessment of choices for risk network control
C Brissette, X Niu, C Jiang, J Gao, G Korniss, BK Szymanski
Scientific Reports 11 (1), 7645, 2021
12021
A simple method for improving the accuracy of Chung-Lu random graph generation
C Brissette, G Slota
arXiv preprint arXiv:2103.00662, 2021
12021
Preprocessing and Learning for Graph Structured Data
C Brissette
Rensselaer Polytechnic Institute, 2023
2023
Continuum semiconductor physics model compression via Data-driven Discrete Exterior Calculus.
A Huang, N Trask, X Gao, S Reza, R Patel, C Brissette, X Hu
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Machine learning of Physics-InformedGraph Neural Networks from TCAD models.
A Huang, N Trask, X Gao, S Reza, R Patel, C Brissette, X Hu
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
2021
Heuristic assessment of the economic effects of pandemic control
X Niu, C Brissette, C Jiang, J Gao, G Korniss, BK Szymanski
arXiv preprint arXiv:2010.14452, 2020
2020
PARALLEL COMPUTATION OF FIXED POINTS ON NETWORKS OF NONLINEAR ODE
C Brissette, J Gao, M Magdon-Ismail, G Slota
SIAM NS20, 2020
2020
GNN Node Classification Using Koopman Operator Theory on GPU
C Brissette, W Hawkins, GM Slota
Constant-Memory Graph Coarsening
GM Slota, C Brissette
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