Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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Updated
Jun 19, 2024 - Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Library of community detection algorithms and visualization tools
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Lobzik is a Gradle plugin for helping to modularise large Android codebases. It uses Louvain algorithm to analyze class dependencies and rank deduced modules based on their conductance score.
A tool for community detection and evaluation in weighted networks with positive and negative edges
An R implementation of the Gene Frequency - Inverse Cell Frequency method for single cell data normalization
The SINr approach to train interpretable word and graph embeddings
Probably the first scalable and open source triangle count based on each edge, on scala and spark for every Big Dataset. (Louvain)
Mapping Echo Chambers In Large Networks
Louvain community detection
Graph computing in JavaScript
Community Finding with Applications on Phylogenetic Networks
This project is as part of a workshop in Analysis of Biological Networks, instructed by Prof. Roded Sharan and Shani Jacobson. The workshop aims to improve existing algorithms for community detection in networks.
Design of OpenMP-based Parallel Dynamic Louvain algorithm for community detection.
Implementation of the Louvain and Leiden community detection algorithms.
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