Homophily-enhanced Structure Learning for Graph Clustering

Author:

Gu Ming1ORCID,Yang Gaoming1ORCID,Zhou Sheng1ORCID,Ma Ning1ORCID,Chen Jiawei1ORCID,Tan Qiaoyu2ORCID,Liu Meihan1ORCID,Bu Jiajun1ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. New York University Shanghai, Shanghai, China

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Ningbo Natural Science Foundation

Publisher

ACM

Reference51 articles.

1. Graph regularized autoencoder and its application in unsupervised anomaly detection;Ahmed Imtiaz;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021

2. Sambaran Bandyopadhyay and Vishal Peter. 2021. Unsupervised constrained community detection via self-expressive graph neural network. In Uncertainty in Artificial Intelligence. PMLR 1078--1088. Sambaran Bandyopadhyay and Vishal Peter. 2021. Unsupervised constrained community detection via self-expressive graph neural network. In Uncertainty in Artificial Intelligence. PMLR 1078--1088.

3. Structural Deep Clustering Network

4. Yu Chen , Lingfei Wu , and Mohammed Zaki . 2020. Iterative deep graph learning for graph neural networks: Better and robust node embeddings. Advances in neural information processing systems , Vol. 33 ( 2020 ), 19314--19326. Yu Chen, Lingfei Wu, and Mohammed Zaki. 2020. Iterative deep graph learning for graph neural networks: Better and robust node embeddings. Advances in neural information processing systems, Vol. 33 (2020), 19314--19326.

5. Network Backboning with Noisy Data

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