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gnn-statistical-analysis

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Quantify GNN statistics and visualize results.

Data & Analytics#analysis#metrics#visualization#pipeline#statistics#cross-framework#gnn
AuthorActiveInferenceInstitute
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Statistical insight into GNN models by extracting, aggregating, and visualizing distributions, complexity metrics, and cross-framework results from pipeline outputs.

Core Features & Use Cases

  • Aggregate variable and connection statistics from GNN definitions and executions.
  • Compute complexity metrics (cyclomatic, cognitive, structural) and quality indicators (maintainability, technical debt).
  • Compare results across frameworks (PyMDP, JAX, RxInfer, ActiveInference.jl, DisCoPy, PyTorch, NumPyro) and produce visualizations.
  • Use in research pipelines to produce dashboards and publication-ready reports.

Quick Start

Run the GNN Statistical Analysis on a directory of simulation outputs to generate aggregated statistics and reports.

Dependency Matrix

Required Modules

numpypandasscipymatplotlib

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: gnn-statistical-analysis
Download link: https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation/archive/main.zip#gnn-statistical-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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