Trending repositories for topic community-detection
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
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)
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.
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Deep and conventional community detection related papers, implementations, datasets, and tools.
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.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Deep and conventional community detection related papers, implementations, datasets, and tools.
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.
A repository of pretty cool datasets that I collected for network science and machine learning research.
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Deep and conventional community detection related papers, implementations, datasets, and tools.
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 repository of pretty cool datasets that I collected for network science and machine learning research.
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
A curated list of community detection research papers with implementations.
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.
Deep and conventional community detection related papers, implementations, datasets, and tools.
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.
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).
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
Java package that provides data structures and algorithms for network analysis.
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"
Deep and conventional community detection related papers, implementations, datasets, and tools.
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
A repository of pretty cool datasets that I collected for network science and machine learning research.
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
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 curated list of community detection research papers with implementations.
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).