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
Financial Leak Detected

Stop the "SaaS Tax"

Your team could be burning cash. Switching to Awesome-Deep-Graph-Clustering instantly boosts your runway.

Competitor Cost
-$1,440
/ year (est. based on Papers with Code)
Self-Hosted
$0
/ year
Team Size10 Users
150+
SAVE 100%

Community Discussion

Comments