Abstract: With the development of low-carbon economy, it is of great significance for enterprises to accurately identify and classify consumers' preferences for low-carbon products. The traditional ...

Abstract: Graph Convolutional Networks (GCNs) rely heavily on the quality of the input graph, which is often defined by a fixed neighborhood size. This work explores two complementary strategies to ...

Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning ...