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A curated list of community detection research papers with implementations.
Created
2018-10-10
481 commits to master branch, last one 8 months ago
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Created
2019-12-05
2,319 commits to master branch, last one 4 months ago
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Created
2019-06-17
144 commits to master branch, last one 2 years ago
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalabl...
Created
2023-06-15
96 commits to master branch, last one 6 days ago
Deep and conventional community detection related papers, implementations, datasets, and tools.
Created
2020-06-24
154 commits to master branch, last one 10 months ago
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
Created
2022-11-29
15 commits to main branch, last one about a year ago
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Created
2019-07-30
80 commits to master branch, last one 2 years ago
Papers on Graph Analytics, Mining, and Learning
graph
random-walk
graph-mining
graph-theory
graph-querying
graph-sampling
graph-analytics
graph-databases
graph-algorithms
graph-clustering
graph-coarsening
graph-partitioning
parallel-computing
graph-pattern-mining
graph-neural-networks
hardware-accelerators
graph-machine-learning
graph-pattern-matching
Created
2020-04-15
99 commits to master branch, last one 2 years ago
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Created
2018-02-12
69 commits to master branch, last one 2 years ago
This project is a scalable unified framework for deep graph clustering.
Created
2023-04-28
75 commits to main branch, last one 3 months ago
MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs.
Created
2021-04-08
275 commits to main branch, last one 9 months ago
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
kdd
igraph
networkx
clustering
ego-network
ego-networks
deep-learning
persona-graph
louvain-method
fast-clustering
fuzzy-clustering
graph-clustering
machine-learning
louvain-algorithm
community-detection
graph-clustering-algorithm
louvain-community-detection
machine-learning-algorithms
community-detection-algorithm
community-detection-evaluation
Created
2019-03-12
80 commits to master branch, last one about a year ago
WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
Created
2020-03-06
10 commits to master branch, last one 4 years ago
An implementation of Chinese Whispers in Python.
Created
2018-01-02
292 commits to master branch, last one about a month ago
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph repr...
Created
2023-01-12
40 commits to main branch, last one about a month ago
Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.
Created
2022-07-17
20 commits to main branch, last one about a year ago