Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification
Author:
Affiliation:
1. College of Computer and Data Science, Fuzhou University, Fuzhou, China
2. School of Computer Science, Minnan Normal University, Zhangzhou, China
Funder
National Natural Science Foundation of China
National Key Research and Development Plan of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6046/10384483/10462517.pdf?arnumber=10462517
Reference58 articles.
1. Jointly Learning Kernel Representation Tensor and Affinity Matrix for Multi-View Clustering
2. Multi-View Clustering in Latent Embedding Space
3. Self-supervised Graph Convolutional Network for Multi-view Clustering
4. A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension
5. Continual Multi-view Clustering
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