HiPoNet combines learned feature reweighting, Vietoris-Rips complexes, and simplicial scattering transforms to classify high-dimensional point clouds, reporting top accuracy on several single-cell and spatial transcriptomics tasks.
Topological signal processing over simplicial complexes
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HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data
HiPoNet combines learned feature reweighting, Vietoris-Rips complexes, and simplicial scattering transforms to classify high-dimensional point clouds, reporting top accuracy on several single-cell and spatial transcriptomics tasks.