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

Graph Neural Networks represent a crucial advance in the use of deep learning to interpret and extract knowledge from graph-based data. They have opened up new possibilities for tasks such as node ...

In GIGNet, multi-level graph neural networks (GNNs) are utilized to extract internal graph-based features from signal samples and correlation information between different signals treated as nodes in ...

Claude isn't the most feature-rich AI chatbot, but it's well-designed and will appeal to anyone who prioritizes privacy.

Here, molecular graphs derived from the one-electron density matrix are introduced within a more general effort to explore whether incorporating electronic structure awareness allows a single model to ...