Alert button
Picture for Matthew Hirn

Matthew Hirn

Alert button

Bispectrum Unbiasing for Dilation-Invariant Multi-reference Alignment

Feb 22, 2024
Liping Yin, Anna Little, Matthew Hirn

Viaarxiv icon

NervePool: A Simplicial Pooling Layer

May 10, 2023
Sarah McGuire, Elizabeth Munch, Matthew Hirn

Figure 1 for NervePool: A Simplicial Pooling Layer
Figure 2 for NervePool: A Simplicial Pooling Layer
Figure 3 for NervePool: A Simplicial Pooling Layer
Figure 4 for NervePool: A Simplicial Pooling Layer
Viaarxiv icon

Geometric Scattering on Measure Spaces

Aug 17, 2022
Joyce Chew, Matthew Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly Steach, Siddharth Viswanath, Hau-Tieng Wu

Figure 1 for Geometric Scattering on Measure Spaces
Figure 2 for Geometric Scattering on Measure Spaces
Figure 3 for Geometric Scattering on Measure Spaces
Figure 4 for Geometric Scattering on Measure Spaces
Viaarxiv icon

The Manifold Scattering Transform for High-Dimensional Point Cloud Data

Jun 21, 2022
Joyce Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew Hirn, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter

Figure 1 for The Manifold Scattering Transform for High-Dimensional Point Cloud Data
Figure 2 for The Manifold Scattering Transform for High-Dimensional Point Cloud Data
Figure 3 for The Manifold Scattering Transform for High-Dimensional Point Cloud Data
Figure 4 for The Manifold Scattering Transform for High-Dimensional Point Cloud Data
Viaarxiv icon

Taxonomy of Benchmarks in Graph Representation Learning

Jun 15, 2022
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek

Figure 1 for Taxonomy of Benchmarks in Graph Representation Learning
Figure 2 for Taxonomy of Benchmarks in Graph Representation Learning
Figure 3 for Taxonomy of Benchmarks in Graph Representation Learning
Figure 4 for Taxonomy of Benchmarks in Graph Representation Learning
Viaarxiv icon

Time-inhomogeneous diffusion geometry and topology

Mar 28, 2022
Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew Hirn, Guy Wolf, Smita Krishnaswamy

Figure 1 for Time-inhomogeneous diffusion geometry and topology
Figure 2 for Time-inhomogeneous diffusion geometry and topology
Figure 3 for Time-inhomogeneous diffusion geometry and topology
Figure 4 for Time-inhomogeneous diffusion geometry and topology
Viaarxiv icon

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks

Jan 22, 2022
Frederik Wenkel, Yimeng Min, Matthew Hirn, Michael Perlmutter, Guy Wolf

Figure 1 for Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Figure 2 for Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Figure 3 for Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Figure 4 for Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Viaarxiv icon

Towards a Taxonomy of Graph Learning Datasets

Oct 27, 2021
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek

Figure 1 for Towards a Taxonomy of Graph Learning Datasets
Figure 2 for Towards a Taxonomy of Graph Learning Datasets
Figure 3 for Towards a Taxonomy of Graph Learning Datasets
Viaarxiv icon

A Hybrid Scattering Transform for Signals with Isolated Singularities

Oct 10, 2021
Michael Perlmutter, Jieqian He, Mark Iwen, Matthew Hirn

Figure 1 for A Hybrid Scattering Transform for Signals with Isolated Singularities
Figure 2 for A Hybrid Scattering Transform for Signals with Isolated Singularities
Figure 3 for A Hybrid Scattering Transform for Signals with Isolated Singularities
Figure 4 for A Hybrid Scattering Transform for Signals with Isolated Singularities
Viaarxiv icon

Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$

Sep 15, 2021
Renming Liu, Matthew Hirn, Arjun Krishnan

Figure 1 for Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$
Figure 2 for Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$
Figure 3 for Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$
Figure 4 for Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$
Viaarxiv icon