Abstract: In recent years, numerous traffic flow prediction techniques have been developed based on graph neural networks and temporal convolutional networks, achieving promising results. However, ...

Abstract: Multivariate time series anomaly detection (MTSAD) plays a critical role in the Internet of Things (IoT) by identifying malfunctions and attacks. Graph Neural Networks (GNNs) have been ...

This repository contains the implementation of AutoSchemaKG, a novel framework for automatic knowledge graph construction that combines schema generation via conceptualization. The framework is ...

This repository is academic reproduction of the official GitHub repository associated with the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective". You ...

Discover the magic of compounding and why it's important for increasing wealth Robert Kelly is managing director of XTS Energy LLC, and has more than three decades of experience as a business ...