Deep Attention-guided Graph Clustering with Dual Self-supervision-Reference-Cited by-同舟云学术

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Deep Attention-guided Graph Clustering with Dual Self-supervision

Published:2022 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Peng Zhihao¹^ORCID,Liu Hui²^ORCID,Jia Yuheng³^ORCID,Hou Junhui¹^ORCID

Affiliation:

1. Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China

2. School of Computing & Information Sciences, Caritas Institute of Higher Education, Hong Kong, China

3. School of Computer Science and Engineering, Southeast University, Nanjing, China

Funder

Research Grants Council, University Grants Committee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/09999681.pdf?arnumber=9999681

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1. Attributed graph clustering under the contrastive mechanism with cluster-preserving augmentation;Information Sciences;2024-10

2. Adversarially deep interative-fused embedding clustering via joint self-supervised networks;Neurocomputing;2024-10

3. Adaptive structural enhanced representation learning for deep document clustering;Applied Intelligence;2024-09-12

4. On the Inference of Original Graph Information from Graph Embeddings;ACM Transactions on Sensor Networks;2024-08-14

5. Attribute graph clustering via transformer and graph attention autoencoder;Intelligent Data Analysis;2024-08-01

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