Abstract: It is time-consuming to obtain performance metrics for feasible topologies during the design of power electronic converters. This article proposes a graph-theory-based algorithm that ...

Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...