Community Detection
Showing 9 of 9 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.
A Python package for community detection algorithms in n-partite networks, including modularity optimization and synthetic network generation.
An Ada library and toolset for complex network analysis, featuring community detection, partition comparison, and network property calculations.
Interactive visualization of higher-order graphs in Python using proportion of degrees by communities.
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