Research
My broad research interests are in geometric and topological representation learning. Currently, I am interested in topological data analysis (TDA) and deep learning applications for graph structured data.
Papers and Preprints
Papers and Preprints
NervePool: A Simplicial Pooling Layer
NervePool: A Simplicial Pooling Layer
Sarah McGuire, Elizabeth Munch, Matthew Hirn
Sarah McGuire, Elizabeth Munch, Matthew Hirn
arXiv preprint, 2023
arXiv preprint, 2023
Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge
Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge
Symmetry and Geometry in Neural Representations (NeurReps) Workshop at NeurIPS 2022
Symmetry and Geometry in Neural Representations (NeurReps) Workshop at NeurIPS 2022
Taxonomy of Benchmarks in Graph Representation Learning
Taxonomy of Benchmarks in Graph Representation Learning
Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O’Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek
Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O’Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek
Learning on Graphs Conference (LoG), 2022
Learning on Graphs Conference (LoG), 2022
Towards a Taxonomy of Graph Learning Datasets
Towards a Taxonomy of Graph Learning Datasets
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
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
Data-Centric AI workshop at NeurIPS, 2021
Data-Centric AI workshop at NeurIPS, 2021