Decentralized Graph Neural Network for Privacy-Preserving Recommendation-Reference-Cited by-同舟云学术

Decentralized Graph Neural Network for Privacy-Preserving Recommendation

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Zheng Xiaolin¹^ORCID,Wang Zhongyu¹^ORCID,Chen Chaochao¹^ORCID,Qian Jiashu¹^ORCID,Yang Yao²^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Zhejiang Lab, Hangzhou, China

Funder

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614834

Reference68 articles.

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2. Private Weighted Random Walk Stochastic Gradient Descent

3. Hypergraph convolution and hypergraph attention

4. Austin R Benson , David F Gleich , and Jure Leskovec . 2016. Higher-order organization of complex networks. Science 353, 6295 ( 2016 ), 163--166. Austin R Benson, David F Gleich, and Jure Leskovec. 2016. Higher-order organization of complex networks. Science 353, 6295 (2016), 163--166.

5. Filippo Maria Bianchi Daniele Grattarola and Cesare Alippi. 2020. Spectral clustering with graph neural networks for graph pooling. In ICML. 874--883. Filippo Maria Bianchi Daniele Grattarola and Cesare Alippi. 2020. Spectral clustering with graph neural networks for graph pooling. In ICML. 874--883.

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