HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization-Reference-Cited by-同舟云学术

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Yang Menglin¹,Zhou Min²,Liu Jiahong³,Lian Defu⁴,King Irwin¹

Affiliation:

1. Department of Computer Sciences and Engineering, The Chinese University of Hong Kong, Hong Kong

2. Huawei Noah's Ark Lab, China

3. Harbin Institute of Technology, Shenzhen, China

4. University of Science and Technology of China, China

Funder

National Key Research and Development Program of China

The Chinese University of Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512118

Reference54 articles.

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3. Ines Chami Zhitao Ying Christopher Ré and Jure Leskovec. 2019. Hyperbolic graph convolutional neural networks. In NeurIPS. 4868–4879. Ines Chami Zhitao Ying Christopher Ré and Jure Leskovec. 2019. Hyperbolic graph convolutional neural networks. In NeurIPS. 4868–4879.

4. Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020. Simple and deep graph convolutional networks. In ICML. PMLR 1725–1735. Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020. Simple and deep graph convolutional networks. In ICML. PMLR 1725–1735.

5. Yankai Chen Menglin Yang Yingxue Zhang Mengchen Zhao Ziqiao Meng Jian Hao and Irwin King. 2021. Modeling Scale-free Graphs for Knowledge-aware Recommendation. arXiv preprint arXiv:2108.06468(2021). Yankai Chen Menglin Yang Yingxue Zhang Mengchen Zhao Ziqiao Meng Jian Hao and Irwin King. 2021. Modeling Scale-free Graphs for Knowledge-aware Recommendation. arXiv preprint arXiv:2108.06468(2021).

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