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 ...

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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 ...

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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 ...

There are a plethora of AI tools that students can tap into today to make studying more effective. When used properly, these tools don't replace students' ability to do work, but help take the ...