Additionally, fixed receptive fields in graph convolutional networks (GCNs) limit feature extraction and model performance. To address these issues, this study proposes a physics-aware graph network ...

A new method for the high-speed computation of double-precision floating-point reciprocal, division, square root, and inverse square root operations is presented in this paper. This method employs a ...

Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules ...