A two‐phase knowledge distillation model for graph convolutional network‐based recommendation-Reference-Cited by-同舟云学术

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A two‐phase knowledge distillation model for graph convolutional network‐based recommendation

Published:2022-01-12 Issue:9 Volume:37 Page:5902-5923
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Huang Zhenhua¹^ORCID,Lin Zuorui¹,Gong Zheng¹,Chen Yunwen²,Tang Yong¹

Affiliation:

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

2. Research and Development Department DataGrand Inc. Shenzhen China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22819

Reference47 articles.

1. Recommender Systems Leveraging Multimedia Content

2. SalakhutdinovR&MnihABayesian probabilistic matrix factorization using Markov chain Monte Carlo. Proc ICML. 2008:880‐887. doi:10.1145/1390156.1390267

3. SalakhutdinovR&MnihAProbabilistic matrix factorization. Proc NIPS. 2007:1257‐1264.

4. User graph regularized pairwise matrix factorization for item recommendation;Du L;Proc ADMA,2011

5. SalakhutdinovR MnihA HintonG.Restricted boltzmann machines for collaborative filtering.Proc ICML.2007:791‐798.doi:10.1145/1273496.1273596

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