Master repository for the JGraphT project

RGL is a framework for graph data structures and algorithms in Ruby.

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

Dir-GNN is a machine learning model that enables learning on directed graphs.

Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks

Simple graph classes

Simple to use header-only C++ library for generating layouts of directed graphs.

a simple JQuery library to create or edit directed graphs.

A demo repo to graph calling and called functions flexing Ghidra's FlatProgramAPI via Pyhidra

Library for building Modular and Asynchronous Graphs with Directed and Acyclic edges (MAGDA)

Application of Ford-Fulkerson algorithm to find the maximum matching between 2 sides of a bipartite graph

Generic Graph Data Structures and Algorithms for .NET

Node embedding for directed, weighted networks

Asymmetric Semi-Nonnegative Matrix Factorization for Directed Graph Clustering

⛔ ARCHIVED ⛔ API Wrapper for the UK REF 2014 Impact Case Studies Database

This is a tool to create directed graphs using a visual editor and a json editor.

Undirected and directed graph decomposition and drawing tools and library in C++

A simple graph editor built for a university software engineering project.

A little TypeScript graph theory library.

Implementation of consensus algorithms using row-stochastic weights over directed graphs