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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
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…