# A nonlinear diffusion method for semi-supervised learning on hypergraphs

@article{Tudisco2021AND, title={A nonlinear diffusion method for semi-supervised learning on hypergraphs}, author={Francesco Tudisco and Konstantin Prokopchik and Austin R. Benson}, journal={ArXiv}, year={2021}, volume={abs/2103.14867} }

Hypergraphs are a common model for multiway relationships in data, and hypergraph semisupervised learning is the problem of assigning labels to all nodes in a hypergraph, given labels on just a few nodes. Diffusions and label spreading are classical techniques for semi-supervised learning in the graph setting, and there are some standard ways to extend them to hypergraphs. However, these methods are linear models, and do not offer an obvious way of incorporating node features for making…

## 7 Citations

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