| Taxonomy of benchmarks in graph representation learning R Liu, S Cantürk, F Wenkel, S McGuire, X Wang, A Little, L O’Bray, ... Learning on Graphs Conference, 6: 1-6: 25, 2022 | 18 | 2022 |
| Do neural networks trained with topological features learn different internal representations? S McGuire, S Jackson, T Emerson, H Kvinge NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 122-136, 2023 | 8 | 2023 |
| NervePool: A Simplicial Pooling Layer S McGuire, E Munch, M Hirn arXiv preprint arXiv:2305.06315, 2023 | 2 | 2023 |
| Towards a taxonomy of graph learning datasets R Liu, S Cantürk, F Wenkel, D Sandfelder, D Kreuzer, A Little, S McGuire, ... arXiv preprint arXiv:2110.14809, 2021 | 2 | 2021 |
| Leveraging Topological Structure of Data for Applications of Deep Learning S McGuire Michigan State University, 2024 | 1 | 2024 |
| Decomposing the Persistent Homology Transform of Star-Shaped Objects S Arya, B Giunti, A Hickok, L Kanari, S McGuire, K Turner arXiv preprint arXiv:2408.14995, 2024 | | 2024 |
| A Geometric Interpretation of Monodromy in the Persistent Homology Transform A Hickok, S Arya, B Giunti, L Kanari, S McGuire, K Turner 2024 Fall Eastern Sectional Meeting, 0 | | |
| Classification of Euler Characteristic Transforms using Convolutional Neural Networks S McGuire, E Munch 2024 Fall Southeastern Sectional Meeting-CANCELLED, 0 | | |
| A Geometric Interpretation of Monodromy in the Persistent Homology Transform S Arya, B Giunti, A Hickok, L Kanari, S McGuire, K Turner 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
