A survey of large-scale graph-based semi-supervised classification algorithms-Reference-Cited by-同舟云学术

A survey of large-scale graph-based semi-supervised classification algorithms

Published:2022-06 Issue: Volume:3 Page:188-198
ISSN:2666-3074
Container-title:International Journal of Cognitive Computing in Engineering
language:en
Short-container-title:International Journal of Cognitive Computing in Engineering

Author:

Song Yunsheng^ORCID,Zhang Jing,Zhang Chao

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Information Systems and Management,Information Systems,Computer Science Applications

Reference113 articles.

1. Distributed large-scale natural graph factorization;Ahmed,2013

2. Network embedding: On compression and learning;Akbas,2019

3. Graph construction for semi-supervised learning;Berton,2015

4. Scaling graph neural networks with approximate PageRank;Bojchevski,2020

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. The Researches on Knowledge Distance and Its Relative Extensions;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-04-05

5. Multi-level Learning for Semi-supervised Multi-view Classification;2023 Eleventh International Conference on Advanced Cloud and Big Data (CBD);2023-12-18