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cs.LG2026★ 1 cited
A Novel Approach to Temporal QoS Estimation via Extended Kalman Filter-Incorporated Latent Feature Analysis
Ye Yuan, Song Wang, Hongxun Zhou +2
Predicting temporal Quality of Service (QoS) data is critical for optimizing network services and rationalizing resource allocation in cloud computing and service-oriented systems.…
cs.LG2024★ 1 cited
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
Ling Wang, Yixiang Huang, Hao Wu
Dynamic graphs (DG) are often used to describe evolving interactions between nodes in real-world applications. Temporal patterns are a natural feature of DGs and are also key to re…
cs.LG2024
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
Ling Wang, Ye Yuan
Dynamic graphs (DG) describe dynamic interactions between entities in many practical scenarios. Most existing DG representation learning models combine graph convolutional network…