Abstract: Graph neural networks (GNNs) have recently emerged as a promising approach for solving few-shot learning (FSL) problems, enabling generalization to new categories by establishing ...
Abstract: Fuzzy graph theory, developed by Lotfi A. Zadeh in the 1960s, addresses imprecise or vague information in various fields, including computer science, engineering, and decision-making. This ...