A Rust library for creating directed hypergraphs where hyperedges can connect any number of vertices.
Hypergraph is a Rust library for creating directed hypergraphs, a data structure where hyperedges can connect any number of vertices. It generalizes traditional graphs to model complex, multiway relational data found in networks, solving the limitation of pairwise relationships in standard graph models.
Developers and researchers working with complex network data, relational modeling, or graph theory who need to represent non-pairwise relationships in Rust applications.
It provides a flexible, safe, and performant implementation with features like self-loops, unaries, and parallelism, making it ideal for accurately modeling real-world multiway interactions.
Hypergraph is a data structure library to create a directed hypergraph in which a hyperedge can join any number of vertices.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Built with 100% safe Rust, ensuring memory safety and preventing common concurrency issues, as highlighted in the implementation philosophy.
Leverages Rayon for parallelism, enabling efficient handling of large hypergraphs through parallel operations, as mentioned in the features.
Supports non-simple hypergraphs, self-loops, and unaries, allowing for accurate modeling of complex multiway relationships, as detailed in the README.
Assigns stable indexes to vertices and hyperedges, facilitating consistent data referencing and manipulation, which is key for reliable hypergraph operations.
Focuses solely on directed hypergraphs, lacking support for undirected hypergraphs, which limits its applicability for scenarios requiring symmetric relationships.
Hypergraphs are inherently more complex than traditional graphs, and the library's API may require deeper conceptual understanding, with the README deferring to documentation for usage details.
Compared to popular graph libraries, hypergraph has fewer third-party integrations, visualization tools, and community resources, making it harder to extend or debug in complex projects.