3 papers
cs.LG2026
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.LG2026
Heterogeneous Graph Condensation via Role-Aware Clustering
Fuyan Ou, Yulin Hu, Ye Yuan
Heterogeneous Graph Neural Networks (HGNNs) have exhibited remarkable efficacy in modeling complex systems with multiple types of nodes and relations, yet their training on large-s…
cs.LG2026
An Efficient and Scalable Graph Condensation with Structure-Preserving
Yulin Hu, Fuyan Ou, Ye Yuan
Graph condensation (GC) is pivotal for enabling Graph Neural Networks (GNNs) deployment in resource-constrained scenarios by compressing large-scale graphs into compact synthetic c…