3 papers
cs.LG2026
Topology-induced Operators Reveal Complementary Graph Representations without Training
Meng Qin, Jinqiang Cui, Hongwei Zheng +2
Graph representation learning has largely focused on designing increasingly sophisticated models to transform graph topology into vector representations, or embeddings. However, th…
cs.LG2025
InfraredGP: Efficient Graph Partitioning via Spectral Graph Neural Networks with Negative Corrections
Meng Qin, Weihua Li, Jinqiang Cui +1
Graph partitioning (GP), a.k.a. community detection, is a classic problem that divides nodes of a graph into densely-connected blocks. From a perspective of graph signal processing…
stat.AP2025
High-dimensional point forecast combinations for emergency department demand
Peihong Guo, Wen Ye Loh, Kenwin Maung +6
Current work on forecasting emergency department (ED) admissions focuses on disease aggregates or singular disease types. However, given differences in the dynamics of individual d…