Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the ...

We develop a novel theoretical framework to prove the safety of an arbitrary-sized MAS with a single GCBF. We propose a new training framework GCBF+ that uses graph neural networks to parameterize a ...

Graph convolutional networks (GCNs) can extract features of samples in non-Euclidean space, which can be used for hyperspectral image (HSI) classification in collaboration with convolutional neural ...

Enabling Energy-Efficient and Sustainable Green Glycerol-Derived 1,3-Propanediol Production via a Graph-Theoretical-Based Approach ...

Over the past few years, researchers have developed various quantum technologies, alternatives to classical devices that operate by leveraging the principles of quantum mechanics. These ...