Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration, i.e., ...

DeepKE is a knowledge extraction toolkit for knowledge graph construction supporting cnSchema， low-resource, document-level and multimodal scenarios for entity, relation and attribute extraction. We ...

Functions are one of the most fundamental concepts in mathematics, forming the foundation for topics in algebra, calculus and many other areas. A solid understanding of the basics of functions, ...

Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

This study presents a sizable Cubic Graph Property Dataset, a graph generator focused on cubic graphs and a set of sub-datasets fitting for machine learning, deep learning and anomaly detection models ...