Name
Abstract | ||
|---|---|---|
Learning network representations of Web services plays a critical role in the service ecosystem and facilitates many downstream tasks, e.g., service composition, service recommendation, service clustering, and service classification, etc. However, the performance of most of the existing approaches is limited by the sparse and non-interaction relationships between services. Considering these shortc... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICWS53863.2021.00029 | 2021 IEEE International Conference on Web Services (ICWS) |
Keywords | DocType | ISBN |
Service link prediction,service relation network expansion,balance theory,WSGCN,MLP | Conference | 978-1-6654-1681-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Xiao | 1 | 1 | 1.38 |
| Kang, G. | 2 | 29 | 5.56 |
| Jianxun Liu | 3 | 640 | 67.12 |
| Buqing Cao | 4 | 200 | 23.96 |
| Linghang Ding | 5 | 0 | 0.34 |