Geometric Deep Learning

Researchers have developed a zero-shot Digital Twin framework that uses a Thermodynamics-Informed Graph Neural Network to simulate physical systems on unseen geometries without retraining, operating a…

Metric-Aware PCA (MAPCA) parameterizes principal component analysis by a positive-definite metric matrix, with a canonical subfamily interpolating between standard PCA and output whitening. The paper …