Showing 6 of 6 projects
A curated list of community detection research papers with implementations.
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
A Python meta-library for community detection in complex networks, implementing algorithms, fitness functions, and visualization.
A JavaScript implementation of the Louvain method for efficient community detection in graphs.
An R package implementing the Smith-Pittman community detection algorithm using node degree and edge betweenness for igraph networks.
Two algorithms (LPAwb+ and DIRTLPAwb+) for finding weighted modularity in bipartite networks.
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