Topic: "community-detection-evaluation"
benedekrozemberczki/EgoSplitting
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Language: Python - Size: 1.58 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 84 - Forks: 18
eXascaleInfolab/clubmark
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)
Language: Python - Size: 7.66 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 20 - Forks: 2
marcottelab/super.complex
Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.
Language: Python - Size: 2.52 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 3
standardxnonconformist/community-detection-algorithms-comparision-R
A summary of the work done for the June 2021 FOSSEE Research Internship in R.
Language: R - Size: 2.95 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
