STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
The "Galactic-Correlation Engine" by Quantx-group functions by running millions of predictive simulations simultaneously, mapping how a specific development within SpaceX—such as a major satellite ...
Abstract: In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global ...
Abstract: This paper examines the problem of automating the development of correlation rules in security information and event management (SIEM) systems. Two approaches are proposed. The first is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results