Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Structural Deep Clustering Network

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

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.

Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation

Papers for Open Knowledge Discovery

AAAI 2021-Deep Fusion Clustering Network

Source code for E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. ICDE 2021.

A very simple self-supervised image classification framework!

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.

[AAAI 2024] ICMVC: Incomplete Contrastive Multi-View Clustering with High-confidence Guiding

[BMVC2023] Official code for TEMI: Exploring the Limits of Deep Image Clustering using Pretrained Models

Graph Agglomerative Clustering (GAC) toolbox

Graph Agglomerative Clustering Library

Code for Learning Embedding Space for Clustering From Deep Representations

Official implementation for [N2DCX] Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

Interpretable Deep Clustering for Tabular Data (ICML 2024)

Course project for EE698R (2020-21 Sem 2). An X-Vector Based Speaker Diarization System with AutoEncoder based clustering method. Also supports spectral and KMeans clustering method.