compatibility estimation 1graph representation 1label propagation 1node classification 1semi-supervised learning 1sparse data 1
From the 1 of 2 linked papers with an AI index.
4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.DS2020★ 1 cited
Fair and Useful Cohort Selection
Konstantina Bairaktari, Paul Langton, Huy L. Nguyen +2
A challenge in fair algorithm design is that, while there are compelling notions of individual fairness, these notions typically do not satisfy desirable composition properties, an…
cs.LG2020★ 4 cited
Factorized Graph Representations for Semi-Supervised Learning from Sparse Data
Krishna Kumar P., Paul Langton, Wolfgang Gatterbauer
The paper introduces a scalable method that estimates class compatibility matrices directly from extremely sparsely labeled graphs using factorized graph representations, enabling…