Graph-Based Semi-Supervised Learning: A Comprehensive Review

Semi-supervised learning (SSL) has tremendous value in practice due to the utilization of both labeled and unlabelled data. An essential class of SSL methods, referred to as graph-based semi-supervised learning (GSSL) methods in the literature, is to first represent each sample as a node in an affin...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 34; H. 11; S. 8174 - 8194
Hauptverfasser:	Song, Zixing, Yang, Xiangli, Xu, Zenglin, King, Irwin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Codes Graph embedding graph representation learning graph-based semi-supervised learning (GSSL) Image color analysis Learning Manifolds Prediction algorithms Semi-supervised learning semi-supervised learning (SSL) Semisupervised learning Taxonomy Training
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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