Abstract: This research explores optimizing recruitment and shortlisting processes using advanced graph algorithms. The study aims to construct and refine a dynamic knowledge graph that integrates ...

Abstract: Graph algorithms are fundamental tools for deriving valuable insights from complex network structures. As network data grows in scale, and hardware architecture becomes more diverse than ...

Graph cover problems form a critical area within discrete optimisation and theoretical computer science, addressing the challenge of selecting subsets of vertices (or edges) that satisfy predetermined ...

Nearest neighbor search is a fundamental data structure problem with many applications in machine learning, computer vision, recommendation systems and other fields. Although the main objective of the ...

Graph algorithms are in wide use in DoD software applications, including intelligence analysis, autonomous systems, cyber intelligence and security, and logistics optimizations. These algorithms make ...

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...

Chinese language vocabulary graph generation. Python/Flask tool that performs dictionary search and analysis on Chinese Hanzi characters. Lists to help with studying for the HSK exam. Beta version of ...