2 papers
cs.LG2025
Evidential Uncertainty Probes for Graph Neural Networks
Linlin Yu, Kangshuo Li, Pritom Kumar Saha +2
Accurate quantification of both aleatoric and epistemic uncertainties is essential when deploying Graph Neural Networks (GNNs) in high-stakes applications such as drug discovery an…
eess.SP2024
Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness
Weihong Guo, Yifei Lou, Jing Qin +1
Time-varying graph signal recovery has been widely used in many applications, including climate change, environmental hazard monitoring, and epidemic studies. It is crucial to choo…