A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Graph Foundation Model. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-024-40046-0 ...

Trimble’s SaaS transition and strategic restructuring aim for margin growth and stable cash flows. Click here to read an ...

The new model, a fine-tuned version of Meta’s LLama 3.3, is the first open-source implementation of a system known as graph retrieval-augmented generation, or GraphRAG.

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce computational time in land cover mapping, particularly for vegetation.

This allows you to control the input to the model, resulting in a responsive, easy-to-interrogate natural language interface on top of your graph. The Rise Of The SLM ...

Learn how AI large language models work; Building knowledge graphs. Now, let’s talk about the role of advanced language models, such as those developed by OpenAI, including the GPT series.

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable. Skip to main content. Events Video Special Issues Jobs ...

This means creating a knowledge graph, which is a data structure that encodes the relationships between entities in a graph. This encoding is done in the form of a subject-relation-object triple.

Integrating knowledge graphs is a promising solution with several key advantages. The advent of transformers has revolutionized text vectorization, achieving unprecedented precision. These embeddings ...

Nevertheless, AIME 2025 and older versions of the test are commonly used to probe a model’s math ability. xAI’s graph showed two variants of Grok 3, Grok 3 Reasoning Beta and Grok 3 mini ...