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

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON blockchain network.

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

As a CHRO or Chief Learning Officer, there are things you wish you had, but likely don't: a fast way to find internal experts, a simple method to extract ...

Build AI into your enterprise content and knowledge management platform with 5 APIs that help you base your AI on enterprise ...

The limitations of traditional databases, in particular the relational model, to cover the requirements of current applications has lead the development of new database technologies. Among them, the ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

This repository hosts the scripts and some of the pre-trained models presented in out paper "ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network", IEEE ...