MRHN: Hypergraph Convolutional Network for Web API Recommendation-Reference-Cited by-同舟云学术

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MRHN: Hypergraph Convolutional Network for Web API Recommendation

Published:2023-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI)
language:
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Author:

Xiao Gang¹,Fei Jiahuan²,Li Dongliu³,Wang Cece²,Cheng Zhenbo⁴,Lu Jiawei¹

Affiliation:

1. China Jiliang University,College of Mechanical and Electrical Engineering,Zhejiang,China

2. China Jiliang University,College of Information Engineering,Zhejiang,China

3. Sicher Elevator Co., Ltd.,Zhejiang,China

4. ZheJiang University of Technology,College of Computer Science and Technology and College of Software Engineer,Zhejiang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10229112/10229323/10229360.pdf?arnumber=10229360

Reference22 articles.

1. Higher-order motif analysis in hypergraphs

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

3. Higher-order organization of complex networks

4. Network Motifs: Simple Building Blocks of Complex Networks

5. A new user similarity model to improve the accuracy of collaborative filtering

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. Mashup-oriented API recommendation via pre-trained heterogeneous information networks;Information and Software Technology;2024-05

2. API Recommendation For Mashup Creation: A Comprehensive Survey;The Computer Journal;2023-11-30

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