Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning-Reference-Cited by-同舟云学术

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Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Gao Rong¹,Liu Jiakang¹,Yu Yonghong²,Liu Donghua³,Shao XiongKai¹,Ye Zhiwei¹

Affiliation:

1. School of the Computer Science Hubei University of Technology,Wuhan,China

2. College of Tongda Nanjing University of Posts and Telecommunications,Yangzhou,China

3. Information Center China Waterborne Transport Research Institute Institute,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892859.pdf?arnumber=9892859

Reference30 articles.

1. CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction

2. Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification;wang;IJCAT,2012

3. Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

4. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

5. Graph Representation Learning via Graphical Mutual Information Maximization

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. A Two-Path Multibehavior Model of User Interaction;Electronics;2023-07-12

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