This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

In addition, we propose the entire graph node training (EGNT) process, optimizing parameters by treating each sample as a graph node for feature aggregation and information updating. Validation using ...

We delve into the issue of node classification within graphs, specifically reevaluating the concept of neighborhood aggregation, which is a fundamental component in graph neural networks (GNNs). Our ...