GitHub

Real-Time Event Prediction

This repository includes the implementation of my research that proposes novel methods for real-time event prediction for heterogeneous multivariate temporal data (time series, instantaneous events, ...
IEEE

Graph Structure Change-Based Anomaly Detection in Multivariate Time Series of Industrial Processes

Multivariate time series anomaly detection plays an important role for the safe operation of industrial devices and systems. At present, many effective methods have the major limitation that the ...
IEEE

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer’s Disease Using EEG Data

Abstract: Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, such as ...