A curated list of community detection research papers with implementations.
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Updated
Mar 18, 2023 - Python
A curated list of community detection research papers with implementations.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Publication-quality network visualisations in python
A tidy API for graph manipulation
Community Discovery Library
Three.js widgets for R and shiny
d3.js helpers for R
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
IGraph/M is the igraph interface for Mathematica
Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.
The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
Beautiful graph drawing
Time series to visibility graphs.
R package to create, modify and visualize graphs with multiple layers.
Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of São Paulo
Tools for multimodal and multilevel network analysis
Source code for blog post at https://hautahi.com/im_greedycelf
causaleffect: R package for identifying causal effects.
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