Large-scale semi-supervised learning with online spectral graph sparsification
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866914516667727872 |
|---|---|
| author | Calandriello, Daniele Lazaric, Alessandro Valko, Michal |
| author_facet | Calandriello, Daniele Lazaric, Alessandro Valko, Michal |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_26550 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Large-scale semi-supervised learning with online spectral graph sparsification Calandriello, Daniele Lazaric, Alessandro Valko, Michal Machine Learning 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. |
| title | Large-scale semi-supervised learning with online spectral graph sparsification |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2604.26550 |