IEEE

Designing a Digital Twin Approach Using Time–Frequency-Space Modulation Graph Fourier Transform Network for Aeroengine Health Indicators

Abstract: The accurate prediction of control, status, and performance parameters is crucial for the safe and reliable operation of aircraft engines. Leveraging digital technology to construct digital ...
IEEE

Multi-Frequency Aware Reconstruction Model For Unsupervised Graph Anomaly Detection

Unsupervised graph anomaly detection (UGAD) is defined as identifying abnormal nodes that deviate from the normal distribution in a graph without any labels, and is widely used in financial fraud ...
Frontiers

OFGPMA: Optimal frequency graph representation learning for pseudogene and miRNA association prediction

1 College Information Science and Engineering, Wuchang Shouyi University, Wuhan, China 2 College of Information Engineering, Wuhan Huaxia Institute of Technology, Wuhan, China Pseudogenes are genomic ...
GitHub

Automatic Modulation Recognition of Radio Frequency Proximity Sensor Signals Based on Adaptive Relational Graph Attention Network

This project utilizes the Adaptive Relational Graph Attention Network (ARGAT) for Automatic Modulation Recognition (AMR) of Radio Frequency Proximity Sensor (RFPS) signals. The project is built on the ...