Cross-media correlation learning for web video event mining with integrated text semantics and network structural information

C Zhang, G Liu, X Xiao - Neural Computing and Applications, 2023 - Springer
Recently, cross-media web video event mining based on heterogeneous information
networks (HIN) has attracted extensive attention. However, each web video is described by …

Heterogeneous graph convolutional network pre-training as side information for improving recommendation

P Do, P Pham - Neural Computing and Applications, 2022 - Springer
For the recommendation domain, most of the existing integrated graph neural network
(GNN)-based architectures have still much focused on encoding the associated extra side …

Relationship discovery and hierarchical embedding for web service quality prediction

H Bu, J Xia, Q Wu, L Chen - Computational Intelligence and …, 2022 - Wiley Online Library
Web Services Quality Prediction has become a popular research theme in Cloud Computing
and the Internet of Things. Graph Convolutional Network (GCN)‐based methods are more …

A novel approach to energy-aware resource management: Toward green NOMA heterogeneous networks

M Nabipour, AR Momen - Intelligent Data Analysis, 2022 - content.iospress.com
The dense deployment of small cell networks is a key feature of next generation mobile
networks aimed at providing the necessary capacity increase. In order to reach an …

SAME: Sampling Attack in Multiplex Network Embedding

C Kong, D Meng, T Liu, M Li, Q Liu, L Zhou… - … on Advanced Data …, 2022 - Springer
Network embedding aims to learn the low-dimensional latent representations of vertices in a
network. Although there are a few works that combine network embedding with privacy, they …

[引用][C] 基于元路径与层次注意力的时序异质信息网络表示学习方法

秦海盈, 赵中英, 李建晖, 李超 - 模式识别与人工智能, 2021