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David R Johnson

2 accepted papers

2026

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks

ICML 2026poster

We introduce vector diffusion wavelets (VDWs), a novel family of wavelets inspired by the vector diffusion maps algorithm that was introduced to analyze data lying in the tangent bundle of a Riemannian manifold. We show that these wavelets may be effectively incorporated into a family of geometric g…

Cited by 0SourceScholar
2025

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data

NeurIPS 2025poster

In this paper, we propose HiPoNet, an end-to-end differentiable neural network for regression, classification, and representation learning on high-dimensional point clouds. Our work is motivated by single-cell data which can have very high-dimensionality --exceeding the capabilities of existing meth…

Cited by 0SourcecodeScholar