SC-GAT: Web Services Classification Based on Graph Attention Network-Reference-Cited by-同舟云学术

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SC-GAT: Web Services Classification Based on Graph Attention Network

Published:2021 Issue: Volume: Page:513-529
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Peng Mi,Cao Buqing,Chen Junjie,Liu Jianxun,Li Bing

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67537-0_31

Reference29 articles.

1. Zhou, Z., Sellami, M., Gaaloul, W., Barhamgi, M., Defude, B.: Data providing services clustering and management for facilitating service discovery and replacement. IEEE Trans. Autom. Sci. Eng. 10(4), 1131–1146 (2013)

2. Skoutas, D., Sacharidis, D., Simitsis, A., Sellis, T.: Ranking and clustering web services using multicriteria dominance relationships. IEEE Trans. Serv. Comput. 3(3), 163–177 (2010)

3. Zhang, M., Liu, X., Zhang, R., Sun, H.: A web service recommendation approach based on QoS prediction using fuzzy clustering. In: 2012 IEEE Ninth International Conference on Services Computing, pp. 138–145 (2012)

4. Wang, H., Yang, Z., Yu, Q.: Online reliability prediction via long short term memory for service-oriented systems. In: 2017 IEEE International Conference on Web Services, pp. 81–88 (2017)

5. Xia, B., Fan, Y., Tan, W., Huang, K., Zhang, J., Wu, C.: Category-aware API clustering and distributed recommendation for automatic mashup creation. IEEE Trans. Serv. Comput. 8(5), 674–687 (2015)

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5. HSG-CDM: A Heterogeneous Service Graph Contextual Deep Model for Web Service Classification;2022 IEEE International Conference on Services Computing (SCC);2022-07

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