One of the most advanced fields of science is “graph theory,” which plays a vital role in the applications of other branches of science like chemistry, biology, physics, electrical engineering, ...

In this study, we introduce a multimodal deep neural network model for DTA prediction, referred to as MDNN-DTA. This model employs Graph Convolutional Networks (GCN) and Convolutional Neural Networks ...

State Key Laboratory of Chemical Resource Engineering, Department of Pharmaceutical Engineering, Beijing University of Chemical Technology, P.O. Box 53, 15 BeiSanHuan East Road, Beijing 100029, China ...

(30) The collection of all molecule pairs in the database forms a metagraph (Figure 4a), where each node is itself a molecular graph, with edges between nodes if there are odor ... This provided an ...

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, ...

The Microsoft Graph Toolkit is a collection of reusable, framework-agnostic components and authentication providers for accessing and working with Microsoft Graph. The components are fully functional ...