Complex Networks
Showing 11 of 11 projects
A curated list of awesome resources for constructing, analyzing, and visualizing network data across various disciplines.
A curated list of resources for constructing, analyzing, and visualizing network data across various disciplines.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A Python interface for the igraph library, enabling fast creation, manipulation, and analysis of large graphs and networks.
C++17/Qt6 library for rendering interactive graphs and node-based editors in QML applications.
A Python library providing a comprehensive collection of graph sampling algorithms for NetworkX and NetworKit.
Educational materials for the textbook 'A First Course in Network Science', including Python tutorials, datasets, and Jupyter notebooks.
A Python meta-library for community detection in complex networks, implementing algorithms, fitness functions, and visualization.
A LaTeX package for visualizing complex networks directly within LaTeX documents, eliminating external software dependencies.
A Rust library for creating directed hypergraphs where hyperedges can connect any number of vertices.
An R package for performing graph theory analyses of brain MRI data from structural, DTI, and resting-state fMRI connectivity.
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