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

arXiv 2202.13608 ↗First posted 28 Feb 2022stat.ML cs.LGcited by 0

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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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 1 of its 12 references that are in the map. First posted on arXiv 28 Feb 2022.

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References · 1

  1. 2020Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Ratescited by 49

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