IEEE

A Hybrid Graph Neural Network Model for Predicting Cyber Attacks From Heterogeneous and Dynamic Network Data

Abstract: With valuable data constantly under attack, reactive security measures are no longer sufficient. Predicting cyber threats before they emerge is crucial. Cyberattacks do not occur randomly; ...
IEEE

Dynamic Topology Tracking of Distribution Networks Based on Sliding Time Window Strategy with Graph Convolutional Networks

Abstract: Accurate dynamic topology tracking of distribution networks is the basis for the safe and stable operation of power systems. In this paper, we propose a dynamic topology tracking method for ...
Digital Production

Nuke 17.0 rewires 3D and adds Gaussian Splats

Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.
Dot Physics on MSN

Creating animated graphs using VPython Glowscript for visualizations

Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...