GitHub

CGBridge: Bridging Code Graphs and Large Language Models for Better Structure-Aware Code Understanding

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 ...
Scientific Research Publishing

Knowledge Graph Application in KM for Accounting and Supply Chain in SMEs ()

Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...
IEEE

Dynamic Multimodal Process Knowledge Graphs: A Neurosymbolic Framework for Compositional Reasoning

Abstract: Compositional reasoning, the cognitive process of breaking complex problems into manageable subproblems and recomposing them to generate new ideas, is fundamental to human problem solving ...
IEEE

Domain Knowledge Aggregation Model Based on Knowledge Graph and Large Language Model

Abstract: Traditional knowledge aggregation methods are mostly limited to the physical splicing of data and information resources, lacking deep semantic correlations. Domain knowledge aggregation has ...