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 ...

According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance and improve user collaboration ...

Graph analytics databases have been described as embodying the next generation of data storage connected with AI, and that's what innovation is all about: a new-and-improved version of how ...

June 29, 2020 – Nebula Graph is now commercially available as the only database that can store and process billions of data points with trillions of relational connections in a shared-nothing ...

Data Retrieval: The Cypher query retrieves relevant information from the graph database. Result Translation: The retrieved data is converted back into natural language for easy interpretation.

With graph technology, companies can create a digital representation of a system or process (e.g., an automotive supply chain or utility grid).

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the ...

2. Select the data you want to include in the bar graph by clicking the first cell and then holding the "shift" key on your Mac or PC keyboard while clicking the last cell. 3.

This is a guest blogpost by Emil Eifrem, CEO, Neo4j. In his view, four major trends driving interest in graph technology are starting to surface. Let's look ahead to what could be in store for the ...