| The Gromov-Wasserstein distance between networks and stable network invariants S Chowdhury, F Mémoli Information and Inference: A Journal of the IMA 8 (4), 757-787, 2019 | 102 | 2019 |
| A functorial Dowker theorem and persistent homology of asymmetric networks S Chowdhury, F Mémoli Journal of Applied and Computational Topology 2, 115-175, 2018 | 85* | 2018 |
| Persistent path homology of directed networks S Chowdhury, F Mémoli Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018 | 76 | 2018 |
| Generalized spectral clustering via Gromov-Wasserstein learning S Chowdhury, T Needham International Conference on Artificial Intelligence and Statistics, 712-720, 2021 | 61 | 2021 |
| Explicit geodesics in Gromov-Hausdorff space S Chowdhury, F Mémoli Electronic Research Announcements 25, 48--59, 2018 | 55* | 2018 |
| Gromov-Wasserstein averaging in a Riemannian framework S Chowdhury, T Needham Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 37 | 2020 |
| Quantized gromov-wasserstein S Chowdhury, D Miller, T Needham Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 36 | 2021 |
| Distances and isomorphism between networks: Stability and convergence of network invariants S Chowdhury, F Mémoli Journal of Applied and Computational Topology 7 (2), 243-361, 2023 | 27* | 2023 |
| Path homologies of deep feedforward networks S Chowdhury, T Gebhart, S Huntsman, M Yutin 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 26 | 2019 |
| Hierarchical representations of network data with optimal distortion bounds Z Smith, S Chowdhury, F Mémoli 2016 50th Asilomar Conference on Signals, Systems and Computers, 1834-1838, 2016 | 24 | 2016 |
| Persistent homology of directed networks S Chowdhury, F Mémoli 2016 50th Asilomar Conference on Signals, Systems and Computers, 77-81, 2016 | 23 | 2016 |
| The importance of forgetting: Limiting memory improves recovery of topological characteristics from neural data S Chowdhury, B Dai, F Mémoli PloS one 13 (9), e0202561, 2018 | 17 | 2018 |
| Vietoris-Rips complexes of regular polygons H Adams, S Chowdhury, AQ Jaffe, B Sibanda arXiv preprint arXiv:1807.10971, 2018 | 15 | 2018 |
| Hypergraph co-optimal transport: Metric and categorical properties S Chowdhury, T Needham, E Semrad, B Wang, Y Zhou Journal of Applied and Computational Topology, 1-60, 2023 | 13 | 2023 |
| NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization C Geniesse, S Chowdhury, M Saggar Network Neuroscience 6 (2), 467-498, 2022 | 10 | 2022 |
| New families of stable simplicial filtration functors S Chowdhury, N Clause, F Mémoli, JÁ Sánchez, Z Wellner Topology and its Applications 279, 107254, 2020 | 10* | 2020 |
| Path homologies of motifs and temporal network representations S Chowdhury, S Huntsman, M Yutin Applied Network Science 7 (1), 4, 2022 | 9 | 2022 |
| Improved error bounds for tree representations of metric spaces S Chowdhury, F Mémoli, ZT Smith Advances in Neural Information Processing Systems 29, 2016 | 9 | 2016 |
| Geodesics in persistence diagram space S Chowdhury arXiv preprint arXiv:1905.10820, 2019 | 8 | 2019 |
| Metric and topological approaches to network data analysis S Chowdhury The Ohio State University, 2019 | 8 | 2019 |
