Awesome-Deep-Graph-Clustering
The premium Open Source alternative to Papers with Code
🎯 Best for:Specialized researchers in graph neural networks
What is Awesome-Deep-Graph-Clustering?
Replaces manual tracking of graph neural network clustering benchmarks. Centralizes state-of-the-art papers, datasets, and source code for deep graph learning applications.
Tech Stack
PythonEducation & Learning
Why Awesome-Deep-Graph-Clustering?
- • Highly specialized
- • Includes benchmark datasets
- • Direct code links
Limitations
- • Niche audience
- • Infrequent updates
- • No interactive UI
3/2/2026
Last Update
152
Forks
10
Issues
MIT
License
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Competitor Cost
-$1,440
/ year (est. based on Papers with Code)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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