yueliu1999 / Awesome-Deep-Graph-Clustering
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Why this job: name: awesome
What it does
ADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets). Any other interesting papers and codes are welcome. Any problems, please contact [email protected]. If you find this repository useful to your research or work, it is really appreciated to star this repository. :sparkles: If you use our code or the processed datasets in this repository for your research, please cite 2-3 papers in the citation part here. :heart:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 43 days ago
- Stars
- 1,023
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 23% closed
- 10 still open
- Pull requests
- 23 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- deep-clustering
- graph-neural-networks
- self-supervised-learning
- representation-learning
- surveys
- data-mining
- deep-learning
- graph-convolutional-networks
- graph-embedding
- network-embedding
- gcn
- machine-learning
Project record
- JobLists and guides
- StatusListed
- Commits418
- Forks156
- Watching17
- Stars in 28 days+1
- CreatedNov 24, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026