Graph neural networks (GNNs) are recognized as a significant methodology for handling graph-structure data. However, with the increasing prevalence of learning scenarios involving multiple graphs, ...

NVIDIA and ArangoDB introduce a solution to boost NetworkX performance for medium-to-large graphs using RAPIDS cuGraph and ArangoDB. NetworkX, a widely-used Python library for graph analytics, often ...

This paper compared interaction graphs under various loading conditions on the Northeastern Power Coordinating Council 140-bus system, and discovers the strong relationships between the graph topology ...

Building a Full Stack Social Network Web Application with React JS using Redux, NodeJS, Socket.IO and MongoDB. Utilizing Python's NetworkX library to represent graphs and the FastAPI framework to ...

NetworkX-METIS is a NetworkX addon that enables graph partitioning with METIS. NetworkX is a Python package for the creation, manipulation and study of the structure, dynamics, and functions of ...

Nvidia has expanded its support of NetworkX graph analytic algorithms in RAPIDS, its open source library for accelerated computing. The expansion means data scientists can run 40-plus NetworkX ...