This project implements a modular graph processing system, designed for efficient traversal
and manipulation of weighted graphs. It leverages modern .NET features such as IMemory<T> and Span<T> to minimize
memory allocations and maximize performance.
The focus is on optimizing graph data structures and algorithms for use in scenarios like pathfinding, cost computation,
and dependency resolution.
We welcome contributions from the community. To contribute, please fork the repository and submit a pull request with your changes.
This project is licensed under the Apache License - see the LICENSE file for details.