CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data

One challenge of learning from streaming data is that only a limited number of labeled examples are available, making semi-supervised learning (SSL) algorithms becoming an efficient tool for streaming data mining. Recently, the graph-based SSL algorithms have been proposed to improve SSL performance...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE transactions on cybernetics Ročník 55; číslo 2; s. 684 - 697
Hlavní autori:	Yu, Hang, Wen, Jiahao, Sun, Yiping, Wei, Xiao, Lu, Jie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.02.2025
Predmet:	Adaptation models Competence model Concept drift Correlation Data models graph neural network Graph neural networks Heuristic algorithms Reliability Semantics semi-supervised learning (SSL) Semisupervised learning streaming data Streams
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!