awesome-community-detection VS karateclub

Compare awesome-community-detection vs karateclub and see what are their differences.

awesome-community-detection

A curated list of community detection research papers with implementations. (by benedekrozemberczki)
graph-clustering network-clustering Clustering dimensionality-reduction Factorization embedding Deep Learning matrix-factorization Igraph Networkx bigclam network-science social-network network-analysis Node2vec Deepwalk unsupervised-learning Data Science Machine Learning community-detection
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karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) (by benedekrozemberczki)
Machine Learning community-detection graph-clustering Deepwalk Networkx Louvain network-science unsupervised-learning Gcn Node2vec Graph2vec supervised-learning Sklearn networkx-graph Scikit label-propagation graph-embedding network-embedding node-embedding 2vec
Source Code
karateclub.readthedocs.io
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awesome-community-detection karateclub
1 1
2,268 2,089
- -
2.8 7.0
about 2 months ago about 2 months ago
Python Python
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 only
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awesome-community-detection

Posts with mentions or reviews of awesome-community-detection. We have used some of these posts to build our list of alternatives and similar projects.

karateclub

Posts with mentions or reviews of karateclub. We have used some of these posts to build our list of alternatives and similar projects.
  • Embedding attributed graphs
    1 project | /r/MLQuestions | 5 Feb 2023
    Check out Karate Club (https://github.com/benedekrozemberczki/karateclub) . It has implementations for many attributed node embedding algorithms.

What are some alternatives?

When comparing awesome-community-detection and karateclub you can also consider the following projects:

minisom - :red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

tensorflow - An Open Source Machine Learning Framework for Everyone

Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.

Keras - Deep Learning for humans

DBCV - Python implementation of Density-Based Clustering Validation

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Clover - An Efficient DNA Clustering algorithm based on Tree Structure.

gym - A toolkit for developing and comparing reinforcement learning algorithms.

scikit-learn - scikit-learn: machine learning in Python

gensim - Topic Modelling for Humans

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Surprise - A Python scikit for building and analyzing recommender systems

awesome-community-detection vs minisom karateclub vs tensorflow awesome-community-detection vs Ringer-Client karateclub vs Keras awesome-community-detection vs DBCV karateclub vs xgboost awesome-community-detection vs Clover karateclub vs gym karateclub vs scikit-learn karateclub vs gensim karateclub vs Prophet karateclub vs Surprise