A Deep Graph Convolutional Network based Web API Classification Approach for Mashup Creation-Reference-Cited by-同舟云学术

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A Deep Graph Convolutional Network based Web API Classification Approach for Mashup Creation

Published:2023-12-17 Issue: Volume:1050 Page:265-272
ISSN:
Container-title:2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
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Author:

Qi Lianyong¹,Yan Boyuan¹,Zheng Jiaqi²,Xu Xiaolong³,Dou Wanchun²,Zhou Xiaokang⁴,Zhang Jie²

Affiliation:

1. School of Computer Science, Qufu Normal University,China

2. Nanjing University,Department of Computer Science and Technology,China

3. School of Computer and Software, Nanjing University of Information Science and Technology,China

4. Shiga University,Faculty of Data Science,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10466782/10466786/10466861.pdf?arnumber=10466861

Reference23 articles.

1. A Novel Dual-Graph Convolutional Network based Web Service Classification Framework

2. APIRO: A Framework for Automated Security Tools API Recommendation

3. ARist: An effective API argument recommendation approach

5. Service-oriented architecture for Internet of Things: A semantic approach

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