Tensor-based embedding for graph-based semi-supervised approaches

Author:

Georgoulas Ioannis1ORCID,Protopapadakis Eftychios2ORCID,Makantasis Konstantinos3ORCID,Doulamis Anastasios1ORCID

Affiliation:

1. National Technical University of Athens, Greece

2. University of Macedonia, Greece

3. University of Malta, Malta

Funder

H2020 Industrial Leadership

Publisher

ACM

Reference18 articles.

1. A note on label propagation for semi-supervised learning

2. Jeff Calder , Brendan Cook , Matthew Thorpe , and Dejan Slepcev . 2020 . Poisson learning: Graph based semi-supervised learning at very low label rates . In International Conference on Machine Learning. PMLR, 1306–1316 . Jeff Calder, Brendan Cook, Matthew Thorpe, and Dejan Slepcev. 2020. Poisson learning: Graph based semi-supervised learning at very low label rates. In International Conference on Machine Learning. PMLR, 1306–1316.

3. Jeff Calder and Dejan Slepčev . 2020. Properly-weighted graph Laplacian for semi-supervised learning. Applied mathematics & optimization 82 ( 2020 ), 1111–1159. Jeff Calder and Dejan Slepčev. 2020. Properly-weighted graph Laplacian for semi-supervised learning. Applied mathematics & optimization 82 (2020), 1111–1159.

4. Wenzheng Feng , Jie Zhang , Yuxiao Dong , Yu Han , Huanbo Luan , Qian Xu , Qiang Yang , Evgeny Kharlamov , and Jie Tang . 2020. Graph random neural networks for semi-supervised learning on graphs. Advances in neural information processing systems 33 ( 2020 ), 22092–22103. Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, and Jie Tang. 2020. Graph random neural networks for semi-supervised learning on graphs. Advances in neural information processing systems 33 (2020), 22092–22103.

5. A Constrained Graph-Based Semi-Supervised Algorithm Combined with Particle Cooperation and Competition for Hyperspectral Image Classification

Cited by 1 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3