Smita Krishnaswamy | Machine Learning via Graph Signal for Complex Biological Data | CGSI2023

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Related papers: Ortega, A., Frossard, P., Kovačević, J., Moura, J. M., & Vandergheynst, P. (2018). Graph signal processing: Overview, challenges, and applications. Proceedings of the IEEE, 106(5), 808-828.

Gao, F., Wolf, G., & Hirn, M. (2019, May). Geometric scattering for graph data analysis. In International Conference on Machine Learning (pp. 2122-2131). PMLR.

Tong, A., Wenkel, F., MacDonald, K., Krishnaswamy, S., & Wolf, G. (2020). Data-driven learning of geometric scattering networks. arXiv preprint arXiv:2010.02415.

Puschel, M., & Moura, J. M. (2008). Algebraic signal processing theory: Foundation and 1-D time. IEEE Transactions on Signal Processing, 56(8), 3572-3585.
  1. Computational Genomics Summer Institute CGSI
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