IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
techtimes

Enterprise AI Agent Security Gets New Architecture: AWS Continuum and Context

An employee pulls out a server rack shelf at the rear of a Trainium3 UltraServer at an Amazon Web Services QA lab in Austin, Texas, on February 3, 2026. Tech titan Amazon is working to step out of ...
IEEE

Differentially Private Weighted Graphs Publication Under Continuous Monitoring

Abstract: Graph data analysis has been used in various real-world applications to improve services or scientific research, which, however, may expose sensitive personal information. Differential ...
Microsoft

Data, AI, and the case for continuous learning

Learning has never been more important for data and AI professionals. As AI rapidly shapes how organizations build, analyze and act on data, staying current is no longer optional; it’s essential for ...