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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
| Date | Stars |
|---|---|
| 2026-07-24 | 1013 |
| 2026-07-25 | 1014 |
| 2026-07-28 | 1014 |
| 2026-07-30 | 1014 |
| 2026-08-06 | 1014 |
Today
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Momentum
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growth rate 0.00%/day
[python-img]: https://img.shields.io/github/languages/top/yueliu1999/Awesome-Deep-Graph-Clustering?color=lightgrey [stars-img]: https://img.shields.io/github/stars/yueliu1999/Awesome-Deep-Graph-Clustering?color=yellow [stars-url]: https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering/stargazers [fork-img]: https://img.shields.io/github/forks/yueliu1999/Awesome-Deep-Graph-Clustering?color=lightblue&label=fork [fork-url]: https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering/network/members [visitors-img]: https://visitor-badge.glitch.me/badge?page_id=yueliu1999.Awesome-Deep-Graph-Clustering [adgc-url]: https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering # ADGC: Awesome Deep Graph Clustering 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](https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering#citation). :heart: [![Made with Python][python-img]][adgc-url] [![GitHub stars][stars-img]][stars-url] [![GitHub forks][fork-img]][fork-url] [![visitors][visitors-img]][adgc-url] -------------- ## What is Deep Graph Clustering? Deep graph clustering, which aims to reveal the underlying graph structure and divide the nodes into different groups, has attracted intensive attention in recent years. More details can be found in the survey paper. [Link](https://arxiv.org/abs/2211.12875) <div align="center"> <img src="./assets/logo_new.png" width=90% /> </div> ## Important Survey Papers | Year | Title | Venue | Paper | Code | | ---- | ------------------------------------------------------------ | :---------: | :----------------------------------------------------------: | :--: | | 2026 | **Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering** | arXiv | [Link](https://arxiv.org/abs/2603.20829) | - | | 2026 | **Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering** | arXiv | [Link](https://arxiv.org/abs/2602.08519) | - | | 2025 | **DGCBench: A Deep Graph Clustering Benchmark (PyDGC)** | NeurIPS | [Link](https://neurips.cc/virtual/2025/poster/121541) | [Link](https://github.com/Marigoldwu/PyDGC) | | 2023 | **An Overview of Advanced Deep Graph Node Clustering** | TCSS | [Link](https://ieeexplore.ieee.org/abstract/document/10049408) | - | | 2022 | **A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application** | arXiv | [Link](https://arxiv.org/abs/2211.12875) | [Link](https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering) | | 2022 | **A Comprehensive Survey on Community Detection with Deep Learning** | TNNLS | [Link](https://arxiv.org/pdf/2105.12584.pdf?ref=https://githubhelp.com) | - | | 2020 | **A Comprehensive Survey on Graph Neural Networks** | TNNLS | [Link](https://ieeexplore.ieee.org/abstract/document/9046288) | - | | 2020 | **Deep Learning for Community Detection: Progress, Challenges and Opportunities** | IJCAI | [Link](https://arxiv.org/pdf/2005.08225) | - | | 2018 | **A survey of clustering with deep learning: From the perspective of network architecture** | IEEE Access | [Link](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8412085) | - | ## Papers ### LLM-based Deep Graph Clustering | Year | Title | Venue | Paper | Code | | ---- | ----
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yueliu1999 · National University of Singapore · Singapore
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Yuecheng Li · Sun Yat-sen University · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e1031b2c9acca16f, topic:deep-learning
matched fp:e1031b2c9acca16f, topic:representation-learning