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cs.LG2024★ 1 cited
CHESTNUT: A QoS Dataset for Mobile Edge Environments
Guobing Zou, Fei Zhao, Shengxiang Hu
Quality of Service (QoS) is an important metric to measure the performance of network services. Nowadays, it is widely used in mobile edge environments to evaluate the quality of s…
cs.LG2024
GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction
Shengxiang Hu, Guobing Zou, Bofeng Zhang +4
Accurate prediction of temporal QoS is crucial for maintaining service reliability and enhancing user satisfaction in dynamic service-oriented environments. However, current method…
cs.LG2023★ 2 cited
Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer
Shengxiang Hu, Guobing Zou, Song Yang +3
Dynamic graph representation learning has emerged as a crucial research area, driven by the growing need for analyzing time-evolving graph data in real-world applications. While re…