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 ...
IEEE

Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks

Abstract: The increasing complexity of modern software sys- tems has led to a rise in vulnerabilities that malicious actors can exploit. Traditional methods of vulnerability detection, such as static ...
IEEE

Automatic Code Generation for High-Performance Graph Algorithms

Abstract: Graph problems are common across many fields, from scientific computing to social sciences. Despite their importance and the attention received, implementing graph algorithms effectively on ...
GitHub

Graph RAG and Hybrid RAG Workshop

The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...