Java package that provides data structures and algorithms for network analysis.
A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
🎇 Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
PyGenStability: Multiscale community detection with generalized Markov Stability
TypeScript port of the Java networkanalysis package that provides data structures and algorithms for network analysis.
Java package for creating a multi-level classification of scientific publications based on citation links between publications.
A julia wrapper for Leiden algorithm to discover and plot the communities of a network.
A comprehensive Rust library providing efficient graph algorithms for solving real-world problems in social network analysis, transportation optimization, recommendation systems, and more
Course Assignment on Clustering of Spatial Transcriptomics Data
An implementation of Hierarchical Incremental Tree Leiden Community Detection - https://arxiv.org/abs/2601.08554
Cross-platform visualization MCP for Cortex — host-neutral live activity from Codex, Gemini CLI, Claude Code, and other MCP clients; memory galaxy, execution trace, knowledge graph, consolidation board, and wiki. Read-only, browser-based, with a no-database trace mode.
Cluster your data matrix with the Leiden algorithm.
Distributed semantic graph database with SSI/Percolator transactions, multi-raft sharding and autonomous placement
🗂️ Build a knowledge graph for global query-focused summarization from document corpora using the GraphRAG pipeline, enhancing information synthesis.
📊 Streamline query-focused summarization by constructing knowledge graphs and extracting insights from document corpora with the GraphRAG pipeline.
A python toolkit for spatial domains and spatially variable genes discovery for high-resolution spatially resolved transcriptomics data.
Our Submission in Finals of the INNOV8-2.0 Competition held by Eightfold.AI at IIT Delhi. The repository explores an AI based resume and recommendations screener called SATYA which employs various techniques to score resumes with a fraud score (implying the degree of fraud in a resume)
Brewing GAPBS with vertex reordering and graph segmentation
Citation network analysis of 47 U.S.C. § 230 federal appellate doctrine, 1997-2025.
Multi-axis LLM stance extraction + heterogeneous R-GAT + graph-grounded briefing for climate negotiation intelligence (COP30 retrospective)
Add a description, image, and links to the leiden-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the leiden-algorithm topic, visit your repo's landing page and select "manage topics."