graph
A high-performance Rust library for graph algorithms, built on a parallel CSR data structure for large-scale graphs.
What is graph?
Graph is a Rust library that provides a collection of high-performance graph algorithms for large-scale graphs. It solves the problem of efficiently processing graphs with billions of nodes and edges by using a parallel Compressed-Sparse-Row (CSR) data structure and optimized algorithm implementations.
Developers and data scientists working with large-scale graph data, such as those in network analysis, recommendation systems, or social network analysis, who need performant graph algorithms in Rust.
Developers choose Graph for its focus on performance and scalability, leveraging parallelism and efficient data structures to handle massive graphs, along with a type-safe API and support from Neo4j Labs expertise.
Overview
A library for high-performant graph algorithms.
Use Cases
Best For
- Running Page Rank and other centrality algorithms on large graphs
- Processing directed and undirected graphs with billions of edges
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