graphrs

graphrs is a Rust package for the creation, manipulation and analysis of graphs.

It allows graphs to be created with support for:

• directed and undirected edges
• multiple edges between two nodes
• self-loops

A Graph has two generic arguments:

• T: Specifies the type to use for node names.
• A: Specifies the type to use for node and edge attributes. Attributes are optional extra data that are associated with a node or an edge. For example, if nodes represent people and T is an i32 of their employee ID then the node attributes might store their first and last names.

Major structs

• Graph
• Node
• Edge

Examples

Create a weighted, directed graph

use graphrs::{Edge, Graph, GraphSpecs, Node};

let nodes = vec![
    Node::from_name("n1"),
    Node::from_name("n2"),
    Node::from_name("n3"),
];

let edges = vec![
    Edge::with_weight("n1", "n2", 1.0),
    Edge::with_weight("n2", "n1", 2.0),
    Edge::with_weight("n1", "n3", 3.0),
    Edge::with_weight("n2", "n3", 3.0),
];

let specs = GraphSpecs::directed();

let graph = Graph::<&str, ()>::new_from_nodes_and_edges(
    nodes,
    edges,
    specs
);

Create an undirected graph from just edges

use graphrs::{Edge, Graph, GraphSpecs};

let mut graph: Graph<&str, ()> = Graph::new(GraphSpecs::undirected_create_missing());
let result = graph.add_edges(vec![
    Edge::new("n1", "n2"),
    Edge::new("n2", "n3"),
]);

Create an empty graph with all possible specifications

use graphrs::{Graph, GraphSpecs, EdgeDedupeStrategy, MissingNodeStrategy, SelfLoopsFalseStrategy};

let graph = Graph::<&str, ()>::new(
    GraphSpecs {
        directed: true,
        edge_dedupe_strategy: EdgeDedupeStrategy::Error,
        missing_node_strategy: MissingNodeStrategy::Error,
        multi_edges: false,
        self_loops: false,
        self_loops_false_strategy: SelfLoopsFalseStrategy::Error,
    }
);

Generate a "complete" graph

use graphrs::{generators};
let graph = generators::classic::complete_graph(5, true);

Find the shortest path between two nodes

use graphrs::{Edge, Graph, GraphSpecs, Node};
use graphrs::{algorithms::{shortest_path::{dijkstra}}};

let mut graph = Graph::<&str, ()>::new(GraphSpecs::directed_create_missing());
graph.add_edges(vec![
    Edge::with_weight("n1", "n2", 1.0),
    Edge::with_weight("n2", "n1", 2.0),
    Edge::with_weight("n1", "n3", 3.0),
    Edge::with_weight("n2", "n3", 1.1),
]);

let shortest_paths = dijkstra::single_source(&graph, true, "n1", Some("n3"), None, false);
assert_eq!(shortest_paths.unwrap().get("n3").unwrap().distance, 2.1);

Compute the betweenness centrality for all nodes

use graphrs::{algorithms::{centrality::{betweenness}}, generators};
let graph = generators::social::karate_club_graph();
let centralities = betweenness::betweenness_centrality(&graph, false, true);

Performance

A performance comparison of the Dijkstra "all pairs" algorithm, between NetworkX and graphrs can be found here.

Credits

Some of the structure of the API and some of the algorithms were inspired by NetworkX.

License

MIT