Incomplete Multi-View Representation Learning Through Anchor Graph-Based GCN and Information Bottleneck-Reference-Cited by-同舟云学术

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Incomplete Multi-View Representation Learning Through Anchor Graph-Based GCN and Information Bottleneck

Published:2024-04-14 Issue: Volume: Page:1-5
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Liu Zhenjiao¹,Wang Xiao¹,Huang Xiaodi²,Li Guanlin³,Sun Ke⁴,Chen Zhikui¹

Affiliation:

1. Dalian University of Technology,School of Software Technology,Dalian,China

2. Charles Sturt University,School of Computing, Mathematics, and Engineering,Albury,Australia

3. Institut Polytechnique de Paris,Samovar, Telecom SudParis,Palaiseau,France

4. Dalian University of Technology,School of Computer Science and Technology

Funder

National Natural Science Foundation of China

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446535.pdf?arnumber=10446535

Reference22 articles.

1. Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis

2. MMFE: Multitask Multiview Feature Embedding

3. An End-to-End Framework for Partial View-Aligned Clustering with Graph Structure

4. Multi-Modal Curriculum Learning for Semi-Supervised Image Classification

5. One-step incomplete multiview clustering with low-rank tensor graph learning

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