Towards efficient algorithms on compressed graph databases Abstract: The speed of algorithms on massive graphs depends on the size of the given data. Grammar-based compression is a technique to ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

Missed out on government jobs? Check high-demand private sector roles like data analyst that require no specific degree.

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

ENVIRONMENT: OUR client, a reputable Foundation with a mission to strengthen the entrepreneurial ecosystem, has an exciting 6-month renewable contract project-based role for an experienced Senior Data ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Learn Python the fun way, using gamified apps that turn coding into a game. Earn points, solve puzzles, and build real skills ...