2 papers
cs.LG2026
Revealing the Pitfalls and Re-Evaluating the Advancement of Heterophilic Graph Learning
Sitao Luan, Qincheng Lu, Chenqing Hua +3
Over the past decade, Graph Neural Networks (GNNs) have achieved great success on machine learning tasks with relational data. However, recent studies have found that heterophily c…
cs.LG2026
GD4: Graph-based Discrete Denoising Diffusion for MIMO Detection
Qincheng Lu, Sitao Luan, Xiao-Wen Chang
In wireless communications, recovering the optimal solution to the multiple-input multiple-output (MIMO) detection problem is NP-hard. Obtaining high-quality suboptimal solutions w…