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33 search results found

Awesome Community Detection ⭐ 2,232

A curated list of community detection research papers with implementations.

Karateclub ⭐ 1,950

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Clustergcn ⭐ 691

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

Awesome Deep Community Detection ⭐ 397

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

Code for our ECCV 2018 work.

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

Labelpropagation ⭐ 101

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

Egosplitting ⭐ 77

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

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.

Chinese Whispers ⭐ 56

An implementation of Chinese Whispers in Python.

Readinglist ⭐ 54

Papers on Graph Analytics, Mining, and Learning

A Unified Framework For Deep Attribute Graph Clustering ⭐ 53

This project is a scalable unified framework for deep graph clustering.

Www2020 O2mac ⭐ 49

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

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

Watset Java ⭐ 29

An implementation of the Watset clustering algorithm in Java.

Fastconsensus ⭐ 25

Fast consensus clustering in networks

Prioritizing network communities

Optimisation Python ⭐ 18

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.

Resolutions 2019 ⭐ 16

A list of data mining and machine learning papers that I implemented in 2019.

Total Variation Graph Neural Networks ⭐ 15

Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.

Simplifying Clustering With Graph Neural Networks ⭐ 14

Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.

Gacluster ⭐ 11

Graph Agglomerative Clustering Library

Mining from git history with Pink Pony!

Hullcoverconditionedunitdiskgraph ⭐ 8

A generator for unit disk graphs conditioned on concave hull cover.

Community Detect ⭐ 8

Community detection using attribute and structural similarities.

Spectral Gromov Wasserstein ⭐ 7

Graph matching and clustering by comparing heat kernels via optimal transport.

Julia package to Compare Graph Embeddings

PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"

Force2vec ⭐ 6

Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"

Chinese Whispers ⭐ 6

Implementation of the Chinese Whispers graph clustering algorithm

Highly Connected Subgraphs Clustering Hcs ⭐ 5

Graph clustering and Node embeddings with word2vec

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