By analyzing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Based on the entropy generation theory, the energy losses of the original model and ... outlet extensions respectively to better match the actual flow conditions. Its components include an inlet pipe, ...

Using modern portfolio theory, investors can build portfolios ... The efficient frontier is a graph that represents the most “efficient” or risk-optimized portfolio allocation for various ...

Abstract: The railway turnout system (RTS) is a critical component of modern ... this paper establishes a precise RTS model based on bond graph (BG) theory that incorporates the sensor model, while ...

Second, we trained several variations on the MPNN inspired by Lee et al. (23) Here, the molecular structures for pairs of molecules are grouped into a unified two-component graph before being fed into ...

Institute of Theoretical and Computational Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China ...

Just as ice melts to water, graphs undergo phase transitions. Two mathematicians showed that they can pinpoint such transitions by examining only local structure. The Quanta Newsletter ...

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...

In this process, all proteins are represented as nodes in a graph that are connected by edges whenever their similarity score is within the adaptive RBAH criterion. A set of proteins linked to each ...