Matthew Hirn

Boise State University — United States

Computer Science · Physical Sciences

15h-index2.0kcitations83works1.82yr avg
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Research Topics

Advanced Graph Neural Networks(19), Graph Theory and Algorithms(10), Topological and Geometric Data Analysis(10), Computational Drug Discovery Methods(8), Image and Signal Denoising Methods(8)

Publications82 total

Bispectrum Unbiasing for Dilation-Invariant Multi-reference Alignment
arXiv (Cornell University)·2024Open Access
Geometric scattering on measure spaces
Applied and Computational Harmonic Analysis·2024· 7 citedOpen Access
Bispectrum Unbiasing for Dilation-Invariant Multi-Reference Alignment
IEEE Transactions on Signal Processing·2024
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning
Lecture notes in computer science·2024
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning
2023· 2 citedOpen Access
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms
SIAM Journal on Mathematics of Data Science·2023· 5 citedOpen Access
On generalizations of the nonwindowed scattering transform
Applied and Computational Harmonic Analysis·2023· 3 citedOpen Access
Power Spectrum Unbiasing for Dilation-Invariant Multi-reference Alignment
Journal of Fourier Analysis and Applications·2023· 1 cited
Time-Inhomogeneous Diffusion Geometry and Topology
SIAM Journal on Mathematics of Data Science·2023· 3 citedOpen Access
NervePool: A Simplicial Pooling Layer
arXiv (Cornell University)·2023· 1 citedOpen Access
Single-cell analysis reveals inflammatory interactions driving macular degeneration
Nature Communications·2023· 71 citedOpen Access
Accurately modeling biased random walks on weighted networks using <i>node2vec+</i>
Bioinformatics·2023· 27 citedOpen Access
Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization
Journal of Geophysical Research Solid Earth·2022· 38 citedOpen Access
On Generalizations of the Nonwindowed Scattering Transform
arXiv (Cornell University)·2022Open Access
Accurately modeling biased random walks on weighted networks using node2vec+ - Additional data
2022Open Access
Accurately modeling biased random walks on weighted networks using node2vec+ - Additional data
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Geometric Scattering on Measure Spaces
arXiv (Cornell University)·2022Open Access
Accurately modeling biased random walks on weighted networks using <i>node2vec+</i>
2022· 5 citedOpen Access
The Manifold Scattering Transform for High-Dimensional Point Cloud Data.
PubMed·2022· 3 citedOpen Access
The Manifold Scattering Transform for High-Dimensional Point Cloud Data
arXiv (Cornell University)·2022· 1 citedOpen Access
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Frequent Co-authors

Michael Perlmutter(15), Guy Wolf(14), Smita Krishnaswamy(11), Feng Gao(6), Holly R. Steach(6), Stéphane Mallat(5), Xitong Zhang(5), Siddharth Viswanath(5), Kevin R. Moon(4), David van Dijk(4), Scott Gigante(4), Daniel B. Burkhardt(4), Ronald R. Coifman(4), Natalia Ivanova(4), Michael Eickenberg(4), Georgios Exarchakis(4), Manik Kuchroo(4), Alexander Tong(4), Joyce Chew(4), Deanna Needell(4)