Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

Noise and decoherence are serious problems for scalable quantum computing schemes. Using an all-optical approach, Bell et al.explore the use of four-qubit graph states for encoding quantum ...

The four pillars of graph adoption This confluence of graph analytics, graph databases, graph data science, machine learning, and knowledge graphs is what makes graph a foundational technology.

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

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 ...

Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...