As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology that transforms how machines understand relationships and reasoning.

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

How answering complex queries in Graph Structured Data makes Big Data management simpler. Relational learning in graphs has focused on answering simple link prediction queries. That is, exploiting ...

Software engineer Eric Sun has revealed the evolution of Facebook’s Entity Graph, a complicated data set which maps the social network’s 100+ billion connections between people, places and interests.

When we ask Siri, Alexa or Google Home a question, we often get alarmingly relevant answers. Why? And more importantly, why don’t we get the same quality of answers and smooth experience in our ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...