Boost Social Recommendation via Adaptive Denoising Network-Reference-Cited by-同舟云学术

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Boost Social Recommendation via Adaptive Denoising Network

Published:2024-05-13 Issue: Volume: Page:577-580
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Chen Xinran¹^ORCID,He Chaobo²^ORCID,Guan Quanlong³^ORCID

Affiliation:

1. School of Computer Science, South China Normal University, Guangzhou, Guangdong, China

2. School of Computer Science, South China Normal University & Pazhou Lab, Guangzhou, Guangdong, China

3. Computer Science, Jinan University, Guangzhou, Guangdong, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651473

Reference17 articles.

1. Xuheng Cai, Chao Huang, Lianghao Xia, and Xubin Ren. 2023. LightGCL: simple yet effective graph contrastive learning for recommendation. In the 11th International Conference on Learning Representations.

2. Momentum Contrast for Unsupervised Visual Representation Learning

3. LightGCN

4. Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. In Proceedings of the 26th International Conference on World Wide Web (Perth Australia) (WWW'17). International World Wide Web Conferences Steering Committee Republic and Canton of Geneva CHE 173--182.

5. DiffNet: A Learning to Compare Deep Network for Product Recognition

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