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@bsteenwi bsteenwi released this 12 Mar 12:59
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v0.1.0
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📦 GraphFlex – Initial Release

We’re excited to introduce the first official release of GraphFlex – a Flexible Framework for Graph Feature Engineering in Python!

This initial version lays the foundation for seamless graph-based feature engineering, fully compatible with scikit-learn pipelines and modern graph backends such as DGL, Neo4j, and RDFLib-HDT.

✨ Highlights

  • Modular GraphFlex class with plug-and-play architecture
  • Built-in feature functions and postprocessing filters
  • Scikit-learn compatibility: Pipeline, GridSearchCV, etc.
  • Support for multiple graph backends via connector modules:
    • ✅ DGL
    • ✅ Neo4j (optional)
    • ✅ RDFLib-HDT (optional)
  • Clean and extensible API for research and production use
  • Optional dependency groups for flexible installation

📦 Installation

pip install graphflex
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