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#

graph-clustering

Here are 90 public repositories matching this topic...

awesome-community-detectionkarateclubsuperpoint_transformer

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

  • UpdatedOct 24, 2025
  • Python
ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

  • UpdatedNov 6, 2022
  • Python

Code for our ECCV 2018 work.

  • UpdatedSep 15, 2019
  • Python
EdMot

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

  • UpdatedNov 6, 2022
  • Python
mcl

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.

  • UpdatedSep 19, 2025
  • C

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

  • UpdatedMar 25, 2023
  • Python
EgoSplittingchinese-whispers

An implementation of Chinese Whispers in Python.

  • UpdatedOct 28, 2025
  • Python

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 representation learning, graph regression and graph classification to join this project as contribut…

  • UpdatedSep 23, 2024

Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)

  • UpdatedMay 22, 2025
  • Python

Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".

  • UpdatedApr 28, 2025
  • Python

ppSCAN: Parallelizing Pruning-based Graph Structural Clustering (ICPP'18) - by Yulin Che, Shixuan Sun and Prof. Qiong Luo

  • UpdatedJun 4, 2020
  • C++

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

  • UpdatedMay 7, 2025
  • Jupyter Notebook

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