Trending repositories for topic community-detection
A curated list of community detection research papers with implementations.
A curated list of community detection research papers with implementations.
A curated list of community detection research papers with implementations.
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
A repository of pretty cool datasets that I collected for network science and machine learning research.
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
A repository of pretty cool datasets that I collected for network science and machine learning research.
A curated list of community detection research papers with implementations.
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A curated list of community detection research papers with implementations.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
Deep and conventional community detection related papers, implementations, datasets, and tools.
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
A repository of pretty cool datasets that I collected for network science and machine learning research.
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
Deep and conventional community detection related papers, implementations, datasets, and tools.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A curated list of community detection research papers with implementations.
A repository of pretty cool datasets that I collected for network science and machine learning research.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
A curated list of community detection research papers with implementations.
Deep and conventional community detection related papers, implementations, datasets, and tools.
A repository of pretty cool datasets that I collected for network science and machine learning research.
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 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).
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
Java package that provides data structures and algorithms for network analysis.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)
Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
Deep and conventional community detection related papers, implementations, datasets, and tools.
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
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 repository of pretty cool datasets that I collected for network science and machine learning research.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A curated list of community detection research papers with implementations.
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Java package that provides data structures and algorithms for network analysis.
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)