Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering-Reference-Cited by-同舟云学术

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Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering

Published:2024 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Dong Zhibin¹^ORCID,Jin Jiaqi¹,Xiao Yuyang²,Xiao Bin³^ORCID,Wang Siwei⁴^ORCID,Liu Xinwang¹^ORCID,Zhu En¹^ORCID

Affiliation:

1. School of Computer, National University of Defense Technology, Changsha, China

2. School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China

3. Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

4. Intelligent Game and Decision Laboratory, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10405858.pdf?arnumber=10405858

Cited by 3 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. Deep incomplete multi-view clustering via attention-based direct contrastive learning;Expert Systems with Applications;2024-12

2. New approach for learning structured graph with Laplacian rank constraint;Neurocomputing;2024-09

3. Direct Contrastive Learning for Incomplete Multi-view Clustering;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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