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SCoAMPS:Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity

Zaigang Gong Siyu Chen Qiangsheng Dai Ying Feng Jiawei Wang Jinghui Zhang

大数据挖掘与分析（英文版）2025，Vol.8Issue(2)：273-291,19.

大数据挖掘与分析（英文版）2025，Vol.8Issue(2)：273-291,19.DOI:10.26599/BDMA.2024.9020060

SCoAMPS:Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity

Zaigang Gong ¹Siyu Chen ¹Qiangsheng Dai ²Ying Feng ¹Jiawei Wang ³Jinghui Zhang⁴

作者信息

1. State Grid Yangzhou Power Supply Company,Yangzhou 225100,China
2. State Grid Jiangsu Electric Power Co.Ltd.,Nanjing 210000,China
3. School of Cyber Science and Engineering,Southeast University,Nanjing 211189,China
4. School of Computer Science and Engineering,Southeast University,Nanjing 211189,China
折叠

摘要

关键词

graph attribute prediction/label sparsity/semi-supervised graph learning/contrastive learning

Key words

graph attribute prediction/label sparsity/semi-supervised graph learning/contrastive learning

引用本文复制引用

Zaigang Gong,Siyu Chen,Qiangsheng Dai,Ying Feng,Jiawei Wang,Jinghui Zhang..SCoAMPS:Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity[J].大数据挖掘与分析（英文版）,2025,8(2):273-291,19.

基金项目

This work was supported by the Science and Technology Project of State Grid Jiangsu Electric Power Co.Ltd.(No.J2023153). （No.J2023153）

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