Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion

DOI10.1016/J.INS.2023.120012OpenAlexW4390064392MaRDI QIDQ6193450

Shiping Wang, Zhaoliang Chen, Jielong Lu, Luying Zhong, Na Song

Publication date: 13 February 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2023.120012

zbMATH Keywords

semi-supervised classificationmulti-view learninggraph convolutional networkcontrastive learningdeep interactive informationgraph fusion

Mathematics Subject Classification ID

Computer science (68-XX) Information and communication theory, circuits (94-XX)

Cites Work

• Convergence of a continuous approach for zero-one programming problems
• Wavelets on graphs via spectral graph theory
• Human action recognition using shape and CLG-motion flow from multi-view image sequences
• Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification
• Scalable Multi-View Semi-Supervised Classification via Adaptive Regression
• Accelerated manifold embedding for multi-view semi-supervised classification

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