IEEE

Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data

Abstract: Timely detection and accurate diagnosis of faults in technological processes can significantly reduce production costs in manufacturing. Modern industrial equipment, equipped with numerous ...
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

GSPO-LAD: A Graph Neural Network-Based Sensor Placement and Anomaly Detection in Water Distribution Systems

Abstract: AI-based sensor placement for anomaly detection in water distribution systems (WDS) enhances system reliability and efficiency. Advanced WDS are attractive targets for malicious actors who ...