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

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 ...

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 ...

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.

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 ...

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.

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.

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.

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 ...

Integrating physics and AI: Novel graph neural network models enhance precipitation forecasting Peer-Reviewed Publication. Institute of Atmospheric Physics, Chinese Academy of Sciences ...