yueliu1999/Awesome-Deep-Graph-Clustering resource

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1016 stars · 155 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of state-of-the-art deep graph clustering methods, including papers, code links, and datasets. It accompanies an IEEE T-KDE survey on deep graph clustering.

Use cases

• find papers on deep graph clustering
• survey of graph neural network clustering methods
• datasets for node clustering benchmarks
• keep up with SOTA graph clustering research
• find code implementations of graph clustering papers
• literature review for graph representation learning

When to choose

• you need a curated, regularly updated index of deep graph clustering papers and code
• you are doing a literature survey or literature review on graph clustering
• you want benchmark datasets and reference implementations in one place

When to avoid

• you need a ready-to-use clustering library rather than a paper collection
• you need general-purpose graph learning tools beyond clustering
• you expect production software with support or guarantees

Facets

learning-resource · maturity active

machine-learning deep-learning data-science machine-learning data-science python awesome-list graph-clustering graph-neural-networks papers survey self-supervised-learning representation-learning algorithms

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