Dual-channel embedding learning model for partially labeled attributed networks-Reference-Cited by-同舟云学术

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Dual-channel embedding learning model for partially labeled attributed networks

Published:2023-10 Issue: Volume:142 Page:109644
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Du Hangyuan^ORCID,Wang Wenjian,Bai Liang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. Network representation learning: a survey;Zhang;IEEE Trans. Big Data,2020

2. Distributed large-scale natural graph factorization;Ahmed,2013

3. Grarep: Learning graph representations with global structural information;Cao,2015

4. Asymmetric transitivity preserving graph embedding;Ou,2016

5. Deepwalk: Online learning of social representations;Perozzi,2014

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

1. Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding;IEEE Access;2024

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