Abstract: In recent years, there has been an increasing interest in uncertainty optimization problems. Fuzzy optimization is one of the methods to study real world uncertainty problems, which contain ...

Abstract: Graph Neural Networks (GNNs) are widely used across fields, with inductive learning replacing transductive learning as the mainstream training paradigm due to its superior memory efficiency, ...