Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork-Reference-Cited by-同舟云学术

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Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Machine Learning and Cybernetics (ICMLC)
language:
Short-container-title:

Author:

Wang Jinghong¹,Wang Hui¹,Yang Jiateng²,Wang Xizhao³

Affiliation:

1. College of Computer and Cyber Security Hebei Normal University,Shijiazhuang,China,050024

2. College of Artificial Intelligence and Big Data Hebei Polytechnic Institute,Shijiazhuang,China,050020

3. College of Computer Science and Software Engineering ShenZhen University,Shenzhen,China,518060

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10327787/10327919/10327965.pdf?arnumber=10327965

Reference33 articles.

1. Community-centric graph convolutional network for unsupervised community detection;he;Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence,2021

2. Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks

3. Graph dual regularization non-negative matrix factorization for co-clustering

4. Unsupervised constrained community detection via self-expressive graph neural network;bandyopadhyay;Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence PMLR Online,2021

5. Fast unfolding of communities in large networks

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