Shypd.aiThe largest open index of AI toolsGDN is a Data & Analytics tool that implements graph neural network-based anomaly detection in multivariate time series. It provides code for identifying anomalies using graph-based methods.
Trending
About
GDN is an open-source implementation of the research paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" presented at AAAI 2021. This tool provides the necessary code to perform anomaly detection in multivariate time series data by leveraging graph neural networks. It is designed for researchers and developers working with time series analysis and anomaly detection, offering a practical framework for applying advanced graph-based methods. Users can prepare their datasets, configure parameters, and run the model on both CPU and GPU environments. The repository includes scripts for installation, training, and evaluation, making it a valuable resource for those looking to implement or experiment with this specific anomaly detection technique.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
