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 ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications. Most ...

The way people find and consume information has shifted. We, as marketers, must think about visibility across AI platforms and Google. The challenge is that we don’t have the same ability to control ...

As marketers, we love a great funnel. It provides clarity on how our strategies are working. We have conversion rates and can track the customer journey from discovery through conversion. But in today ...

Therapy-related myeloid neoplasm risk score (TMNRS): A convenient clinical score for TMN risk assessment at presentation in adult patients (pts) with cancer. This is an ASCO Meeting Abstract from the ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?