Recommending third-party APIs via using lightweight graph convolutional neural networks-Reference-Cited by-同舟云学术

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Recommending third-party APIs via using lightweight graph convolutional neural networks

Published:2023-07-03 Issue:1 Volume:35 Page:
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Zhang Meijiao¹,Pan Xianhao²,Mai Jiajin²,Tang Mingdong²,Weng Tien-Hsiung³

Affiliation:

1. School of Software, Quanzhou University of Information Engineering, Quanzhou, People’s Republic of China

2. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, People’s Republic of China

3. Dept of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2228523

Reference39 articles.

1. Berg, R. v. d., Kipf, T. N., & Welling, M. J. (2017). Graph convolutional matrix completion. SIGKDD.

2. An Efficient Service Recommendation Algorithm for Cyber-Physical-Social Systems

3. The API-mashup ecosystem: a comprehensive study of ProgrammableWeb

4. Hamilton, W. L., Ying, R., & Leskovec, J. (2017). Inductive representation learning on large graphs. The 31st International Conference on Neural Information Processing Systems, 1025–1035.

5. LightGCN

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