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This package provides tools to:\n\n- Define graphon models (continuous functions or block models)\n- Sample finite graphs from these models\n- Work with decorated graphons that have rich edge attributes\n\n## Quick Start\n\n```julia\nusing Graphons\n\n# Create a simple continuous graphon\ng = SimpleContinuousGraphon((x, y) -\u003e 0.3)\n\n# Sample a random graph with 100 nodes\nA = rand(g, 100)\n\n# Create a stochastic block model\nθ = [0.8 0.1; 0.1 0.8]  # High within-block, low between-block probability\nsizes = [0.5, 0.5]       # Equal-sized blocks\nsbm = SBM(θ, sizes)\nA = rand(sbm, 200)\n```\n\n## Features\n\n- **Simple Graphons**: Work with continuous probability functions on [0,1]²\n- **Stochastic Block Models**: Discrete graphons with block structure\n- **Decorated Graphons**: Rich edge attributes using Distributions.jl or custom\n  distributions\n\n## Installation\n\n```julia\nusing Pkg\nPkg.add(\"Graphons\")\n```\n\n## Documentation\n\nFor more details and tutorials please refer to the documentation.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsds-epfl%2Fgraphons.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsds-epfl%2Fgraphons.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsds-epfl%2Fgraphons.jl/lists"}