AI is now a part of our everyday lives. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Deep learning techniques are used for data with an underlying non-Euclidean ... At various degrees of granularity, proteins and biological interaction networks may naturally be depicted as graphs.

What is this book about? Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation ...

Digital twins are computer ... knowledge graphs, a platform which can not only scale to the vast amounts of data accrued by assets and people, but also deal with the intricate structures and ...