Projects in Awesome Lists tagged with graph-clustering

https://github.com/benedekrozemberczki/karateclub

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

2vec community-detection deepwalk gcn graph-clustering graph-embedding graph2vec label-propagation louvain machine-learning network-embedding network-science networkx networkx-graph node-embedding node2vec scikit sklearn supervised-learning unsupervised-learning

Last synced: 14 May 2025

https://github.com/benedekrozemberczki/clustergcn

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

clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch

Last synced: 04 Apr 2025

https://github.com/benedekrozemberczki/ClusterGCN

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

clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch

Last synced: 01 May 2025

https://github.com/drprojects/superpoint_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"

3d 3dv2024 deep-learning efficient fast graph-clustering hierarchical iccv2023 lightweight panoptic-segmentation partition partitioning point-cloud pytorch semantic-segmentation superpoint transformer

Last synced: 15 May 2025

https://github.com/benedekrozemberczki/edmot

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

community-detection deep-learning deepwalk gcn gemsec gnn graph-algorithm graph-clustering graph-deco graph-embedding graph-motif graph-partitioning graph2vec igraph louvain motif network-embedding network-motif networkx node2vec

Last synced: 11 Apr 2025

https://github.com/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).

clustering community community-detection dataset fast-greedy graph graph-clustering graph-cut graph-partitioning homophily label-propagation louvain modularity probabilistic-clustering propagation randomized-algorithm unsupervised-learning walktrap

Last synced: 11 Apr 2025

https://github.com/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.

clustering graph-clustering markov-cluster-algorithm markov-clustering mcl network-analysis network-clustering

Last synced: 26 Mar 2025

https://github.com/benedekrozemberczki/egosplitting

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

clustering community-detection community-detection-algorithm community-detection-evaluation deep-learning ego-network ego-networks fast-clustering fuzzy-clustering graph-clustering graph-clustering-algorithm igraph kdd louvain-algorithm louvain-community-detection louvain-method machine-learning machine-learning-algorithms networkx persona-graph

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/resolutions-2019

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

attention-mechanism deep-learning deepwalk gcn graph-classification graph-clustering graph-convolutional-networks graph-embedding graph-kernel machine-learning network-embedding network-science node-classification node-embedding node2vec pytorch resolution scipy sklearn tensorflow

Last synced: 11 Apr 2025

https://github.com/kunzhan/scdgn

ACM MM 2023: Self-contrastive graph diffusion network

clustering contrastive-learning graph-clustering

Last synced: 06 May 2025

https://github.com/benedekrozemberczki/hullcoverconditionedunitdiskgraph

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

data data-generator data-science data-visualization deep-learning fun funny graph graph-clustering graph-embedding graph-visualization hull-cover joke machine-learning network-visualization networkx node-embedding non-planar-graph synthetic unit-disk-graph

Last synced: 27 Jun 2025

https://github.com/pavlmits/pinkpony

Mining from git history with Pink Pony!

git graph-clustering hacktoberfest java java-11 mining-software-repositories

Last synced: 10 Apr 2025

https://github.com/doctor-phil/analyzing-economic-networks

Tutorial introduction to economic network analysis and graph clustering in python with networkx

centrality data-science economics graph-clustering networks social-network-analysis spectral-methods

Last synced: 28 Apr 2025

https://github.com/fork123aniket/graph-clustering-using-graph-neural-networks-from-scratch

Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch

graph-clustering graph-neural-networks graph-pooling pytorch pytorch-geometric pytorch-implementation spectral-clustering spectral-models

Last synced: 16 Jan 2025

https://github.com/edisonleeeee/magi

[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

graph-clustering graph-contrastive-learning kdd2024

Last synced: 04 May 2025

https://github.com/pnnl/cuvite

Multi-GPU Graph Community Detection using CUDA

community-detection cuda graph-clustering mpi

Last synced: 12 Apr 2025

https://github.com/timothewt/advancedgraphclustering

Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)

arga clustering deep-graph-clustering dgae gae graph graph-clustering graph-convolutional-networks graph-neural-networks louvain-algorithm markov-clustering mvgrl spectral-clustering stochastic-block-model unsupervised-learning

Last synced: 14 Jun 2025

https://github.com/angeligareta/data-mining-overview

Projects developed for the course Data Mining in KTH Royal Institute of Technology, including algorithms to find similar items, discover frequent itemsets, mine graph data streams and analyze graph spectra.

association-rules data-mining data-science find-similar-items frequent-itemsets graph-clustering graph-spectra id2222 jupyter-notebook kth python