Graph-theory Libraries

We use two metrics to evaluate the performance of an AI: Test results (averaged over 1000 episodes): Run unit tests:

igraph is a library for creating and manipulating graphs. It is intended to be as powerful (ie. fast) as possible to enable the analysis of large graphs. This repository contains the source code to t…

It supports time traveling, full-text search, multilayer modelling, and advanced analytics beyond simple querying like automatic risk detection, dynamic scoring, and temporal motifs. Raphtory is avai…

Install the latest version of Python-graphblas via conda: or pip: The following are not required by python-graphblas, but may be needed for certain functionality to work. The approach taken with this…