# Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?

arXiv: https://arxiv.org/abs/2202.13608 · HTML: https://mlsanity.com/paper/2202.13608/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 12 references that are in the map.
- First posted on arXiv 28 Feb 2022.

## Builds on (most cited first, 1 of 1)

- [Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates](https://mlsanity.com/paper/2006.11184/) (2020)

## Abstract (arXiv)

We explain Poisson learning on graph-based semi-supervised learning to see if it could avoid the problem of global information loss problem as Laplace-based learning methods on large graphs. From our analysis, Poisson learning is simply Laplace regularization with thresholding, cannot overcome the problem.