2008 Open source projects that are alternatives of or similar to Awesome Community Detection

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

A list of data mining and machine learning papers that I implemented in 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).

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

An implementation of the Watset clustering algorithm in Java.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

A novel approach to evaluate community detection algorithms on ground truth

Friends Recommendation and Link Prediction in Social Netowork

Watchman: An open-source social-media event-detection system

Machine Learning Course @ Santa Clara University

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

Find nodes in hierarchical clustering that are statistically significant

TCyb 2018: Graph learning for multiview clustering

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

Learning to Cluster. A deep clustering strategy.

LibRec: A Leading Java Library for Recommender Systems, see

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Implementation of linear CorEx and temporal CorEx.

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Source code for blog post at https://hautahi.com/im_greedycelf

A python package for flow network analysis

An open-source, low-code machine learning library in Python

A collection of important graph embedding, classification and representation learning papers with implementations.

A list of Twitter datasets and related resources.

ADENINE: A Data ExploratioN PipelINE

A tool to analyze the topology of Bitcoin's Lightning Network

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Machine Learning (EE 5184) in NTU

A library of extension and helper modules for Python's data analysis and machine learning libraries.

A repository of pretty cool datasets that I collected for network science and machine learning research.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Minimum-distortion embedding with PyTorch

ELKI Data Mining Toolkit

NFStream: a Flexible Network Data Analysis Framework.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Python implementation of bag-of-concepts

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

pyclustring is a Python, C++ data mining library.

A Python implementation of Girvan-Newman algorithm

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

PHP-ML - Machine Learning library for PHP

📜 Self-Supervised Learning from Images: Up-to-date reading list.

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

A Julia machine learning framework

USC urban data science course series with Python and Jupyter

Telegram Data Clustering contest solution by Mindful Squirrel

free software application for social network analysis and visualization

Una introduccion al analisis de datos con R y R Studio

Python Framework for Extractive Text Summarization

Explore high-dimensional datasets and how your algo handles specific regions.