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BipartiteFactorGraphs.jl\n\n[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://reactiveBayes.github.io/BipartiteFactorGraphs.jl/stable/)\n[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://reactiveBayes.github.io/BipartiteFactorGraphs.jl/dev/)\n[![Build Status](https://github.com/ReactiveBayes/BipartiteFactorGraphs.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/ReactiveBayes/BipartiteFactorGraphs.jl/actions/workflows/CI.yml?query=branch%3Amain)\n[![Coverage](https://codecov.io/gh/ReactiveBayes/BipartiteFactorGraphs.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/ReactiveBayes/BipartiteFactorGraphs.jl)\n[![Aqua](https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg)](https://github.com/JuliaTesting/Aqua.jl)\n\nA Julia package for working with bipartite factor graphs, providing efficient data structures and algorithms for graph-based probabilistic inference.\nThe package is built on top of and is fully compatible with the [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl) package.\n\n## Installation\n\n```julia\nusing Pkg\nPkg.add(\"BipartiteFactorGraphs\")\n```\n\nOr in Julia REPL press `]` to enter Pkg mode:\n\n```julia\n] add BipartiteFactorGraphs\n```\n\n## Features\n\n- Flexible representation of bipartite factor graphs\n- Efficient manipulation of graph structure\n- Support for common graph operations\n- Type-stable implementation for performance\n\n## Basic Usage\n\n```julia\nusing BipartiteFactorGraphs\n\n# Create a new factor graph\ng = BipartiteFactorGraph()\n\n# Add variable and factor nodes\nv1 = add_variable!(g)\nv2 = add_variable!(g)\nf1 = add_factor!(g, [v1, v2])\n\n# Check connectivity\n@assert is_connected(v1, f1)\n@assert is_connected(v2, f1)\n\n# Access node neighbors\nneighbors_of_v1 = neighbors(g, v1)\nneighbors_of_f1 = neighbors(g, f1)\n\n# Get graph properties\n@assert num_variables(g) == 2\n@assert num_factors(g) == 1\n```\n\n## Documentation\n\nFor more detailed information about the package functionality, please refer to the [documentation](https://reactiveBayes.github.io/BipartiteFactorGraphs.jl/stable/).\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b my-new-feature`)\n3. Commit your changes (`git commit -am 'Add some feature'`)\n4. Push to the branch (`git push origin my-new-feature`)\n5. Create a new Pull Request\n\n## License\n\nThis package is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freactivebayes%2Fbipartitefactorgraphs.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Freactivebayes%2Fbipartitefactorgraphs.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freactivebayes%2Fbipartitefactorgraphs.jl/lists"}