Higher Order Multiple Graph Filtering for Structured Graph Learning-Reference-Cited by-同舟云学术

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Higher Order Multiple Graph Filtering for Structured Graph Learning

Published:2024-04-14 Issue: Volume:9 Page:7095-7099
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Du Liang¹,Li Xiaodong¹,Chen Yan²,Yang Gui¹,Ahmad Mian Ilyas³,Zhou Peng⁴

Affiliation:

1. Shanxi University,School of Computer and Information Technology,China

2. Sichuan University,School of Computer Science,China

3. National University of Sciences and Technology,Pakistan

4. Anhui University,School of Computer Science and Technology,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446826.pdf?arnumber=10446826

Reference25 articles.

1. A study of graph-based system for multi-view clustering

2. Multi-View Clustering in Latent Embedding Space

3. Clustering ensemble via structured hypergraph learning

4. One pass late fusion multi-view clustering;Liu

5. Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining

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. Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering;IEEE Signal Processing Letters;2024

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