Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...

Learn how to build an advanced artificial intelligence (AI) assistant or AI agent using Python and RAG. Provide it with various tools it can ...

Learn how to build knowledge graphs using Python and large language models (LLMs) to create intricate interconnected knowledge maps ...

Large language models have immense potential, but also major shortcomings. Knowledge graphs make LLMs more accurate, transparent, and explainable.

Four mathematicians have found a new upper limit to the “Ramsey number,” a crucial property describing unavoidable structure in graphs.

Hands-On Graph Neural Networks Using Python This is the code repository for Hands-On Graph Neural Networks Using Python, published by Packt. Practical techniques and architectures for building ...

Graph theory has the potential to become a major subject of study shortly. However, graph theory research is still in its infancy. In order to build a network mesh, graph theory is quite useful. The ...

Abstractions blog A New Algorithm for Graph Crossings, Hiding in Plain Sight Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory ...