Heterogeneous dynamics, strongly nonlinear and nonaffine structures, and cooperation–antagonism networks are considered together in this work, which have been considered as challenging problems in the ...

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

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...

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

Understanding the underlying graph structure of a nonlinear map over a particular domain is essential in evaluating its potential for real applications. In this paper, we investigate the structure of ...

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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 ...