Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization-Reference-Cited by-同舟云学术

Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Yang Yonghui¹,Wu Le²,Hong Richang¹,Zhang Kun¹,Wang Meng²

Affiliation:

1. Hefei University of Technology, Hefei, China

2. Hefei University of Technology & Hefei Comprehensive National Science Center, Hefei, China

Funder

Young Elite Scientists Sponsorship Program by CAST and ISZS

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, HFUT

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462928

Reference40 articles.

1. David C Anastasiu and George Karypis. 2015. L2knng: Fast exact k-nearest neighbor graph construction with l2-norm pruning. In CIKM. 791--800. David C Anastasiu and George Karypis. 2015. L2knng: Fast exact k-nearest neighbor graph construction with l2-norm pruning. In CIKM. 791--800.

2. Mohamed Ishmael Belghazi Aristide Baratin Sai Rajeshwar Sherjil Ozair Yoshua Bengio Aaron Courville and Devon Hjelm. 2018. Mutual information neural estimation. In ICML. 531--540. Mohamed Ishmael Belghazi Aristide Baratin Sai Rajeshwar Sherjil Ozair Yoshua Bengio Aaron Courville and Devon Hjelm. 2018. Mutual information neural estimation. In ICML. 531--540.

3. Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu and Bin Wang. 2021. Bipartite Graph Embedding via Mutual Information Maximization. In WSDM. 635--643. Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu and Bin Wang. 2021. Bipartite Graph Embedding via Mutual Information Maximization. In WSDM. 635--643.

4. Lei Chen Le Wu Richang Hong Kun Zhang and Meng Wang. 2020 b. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In AAAI. 27--34. Lei Chen Le Wu Richang Hong Kun Zhang and Meng Wang. 2020 b. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In AAAI. 27--34.

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