Graph neural network-based similarity relationship construction model for geospatial services

F Jin, R Li, H Wu - Geo-spatial Information Science, 2024 - Taylor & Francis
During the development of service-based software systems, Geospatial Service (GS)
replacement is often performed, which requires the discovery of functionally similar services …

Attentional neural factorization machine for web services classification via exploring content and structural semantics

B Liang, G Kang, J Liu, B Cao… - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Due to the rapid development of Web 2.0, a lot of Web services emerge over the Internet.
How to efficiently manage Web services through classification is very important for Web …

LDNM: a general web service classification framework via deep fusion of structured and unstructured features

Y Xiao, J Liu, G Kang, B Cao - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Classifying Web services plays a critical role in several fundamental service management
tasks, such as service discovery, selection, ranking, and recommendation. However …

Web service network embedding based on link prediction and convolutional learning

M Shi, Y Zhuang, Y Tang, M Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Extensive efforts have been applied to develop efficient feature extraction algorithms, which
aim to achieve optimal results in many fundamental tasks such as Web-based software …

TH-SLP: Web service link prediction based on topic-aware heterogeneous graph neural network

Q Peng, B Cao, X Xie, S Liu, G Kang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the emergence of more and more Web services, finding suitable services becomes a
difficult problem. Service link prediction is employed to disclose relationships among …

Statistical analysis of random walks on network

A Kalikova - Scientific Journal of Astana IT University, 2021 - journal.astanait.edu.kz
This paper describes an investigation of analytical formulas for parameters in random walks.
Random walks are used to model situations in which an object moves in a sequence of …

Multifaceted Embedding Learning for Networked Data and Systems

M Shi - 2020 - search.proquest.com
Network embedding learning is important for analyzing many real-world applications and
systems, ie, social networks, citation networks and communication networks. It targets at …