Papers
arxiv:2604.26550
Large-scale semi-supervised learning with online spectral graph sparsification
Published on Apr 29
Authors:
Abstract
Sparse-HFS is a scalable algorithm for solving SSL problems with improved space and time complexity.
AI-generated summary
We introduce Sparse-HFS, a scalable algorithm that can compute solutions to SSL problems using only O(n polylog(n)) space and O(m polylog(n)) time.
Get this paper in your agent:
hf papers read 2604.26550 Don't have the latest CLI?
curl -LsSf https://hf.co/cli/install.sh | bash Models citing this paper 0
No model linking this paper
Cite arxiv.org/abs/2604.26550 in a model README.md to link it from this page.
Datasets citing this paper 1
Spaces citing this paper 0
No Space linking this paper
Cite arxiv.org/abs/2604.26550 in a Space README.md to link it from this page.
Collections including this paper 0
No Collection including this paper
Add this paper to a collection to link it from this page.