graph-clustering 开源项目推荐（123 个）

benedekrozemberczki /awesome-community-detection

A curated list of community detection research papers with implementations.

benedekrozemberczki /karateclub

空手道俱乐部：一个面向API的开源Python框架，用于图形无监督学习（CIKM 2020）

drprojects /superpoint_transformer

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

benedekrozemberczki /ClusterGCN

PyTorch 实现的《Cluster-GCN：一种高效算法用于训练深层和大型图卷积网络》（KDD 2019）。

FanzhenLiu /Awesome-Deep-Community-Detection

Deep and conventional community detection related papers, implementations, datasets, and tools.

XiaohangZhan /cdp

Code for our ECCV 2018 work.

yueliu1999 /HSAN

[AAAI 2023]论文的官方源代码：用于对比深图聚类的硬样本感知网络。

benedekrozemberczki /EdMot

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

benedekrozemberczki /LabelPropagation

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

chenxuhao /ReadingList

Papers on Graph Analytics, Mining, and Learning

micans /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.

googlebaba /WWW2020-O2MAC

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

benedekrozemberczki /EgoSplitting

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

MaximPiessen /instagram_network_analysis

该项目在 GitHub 上没有填写描述

nlpub /chinese-whispers

An implementation of Chinese Whispers in Python.

ZhenyuYangMQ /Awesome-Graph-Level-Learning

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…

6lyc /CDNMF

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

FilippoMB /Simplifying-Clustering-with-Graph-Neural-Networks

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

Cloudy1225 /PyAGC

[NeurIPS 2026] Attributed Graph Clustering Library for PyTorch

RapidsAtHKUST /ppSCAN

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