Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation-Reference-Cited by-同舟云学术

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Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation

Published:2024-06-12 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Liu Zhe¹,Lou Xiaojun²,Li Jian²,Liu Guanjun³

Affiliation:

1. College of Media Engineering, Communication University of Zhejiang, Hangzhou, China

2. School of Mathematics and Computer science, Zhejiang A and F University, Hangzhou, China

3. College of Electronic and Information Engineering, Tongji University, Shanghai, China

Funder

Key R&D Projects in Zhejiang Province

Scientific Research Project of Zhejiang Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2355425

Reference46 articles.

1. The Netflix Recommender System

2. Filter bubbles in recommender systems: Fact or fallacy—A systematic review

3. An Intelligent Recommendation System for Automating Academic Advising Based on Curriculum Analysis and Performance Modeling

4. Bruna, J., W. Zaremba, A. Szlam, and Y. LeCun. 2013. Spectral networks and locally connected networks on graphs. International Conference on Learning Representations, Scottsdale, Arizona, USA.

5. Cao, Y., X. Wang, X. He, Z. Hu, and T. Chua. 2019. Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences. The world wide web conference, 151–61. San Francisco, CA, USA.

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