graphrs-python

graphrs_python

graphrs_python is a Python wrapper around the high-performance graphrs Rust crate. See the performance documentation for a comparison of the performance of graphrs to other graph libraries.

Example Usage

import graphrs_python as grs

nodes = ["n1", "n2", "n3", "n4"]
edges = [("n1", "n2", 1.0), ("n2", "n3", 1.0), ("n3", "n4", 1.0), ("n4", "n2", 1.0)]
graph = grs.create_graph_from_nodes_and_edges(nodes, edges, directed=True)

print(grs.betweenness_centrality(graph, weighted=True, normalized=True))
print(grs.closeness_centrality(graph, weighted=True, wf_improved=True))
print(grs.eigenvector_centrality(graph, weighted=True))

Graphs can also be created from just edges:

import graphrs_python as grs

edges = [("n1", "n2", 1.0), ("n2", "n3", 1.0), ("n3", "n4", 1.0), ("n4", "n2", 1.0)]
graph = grs.create_graph_from_edges(edges, directed=True)

And graphs can also be created from NetworkX Graph objects:

import graphrs_python as grs
import networkx

graph = nx.DiGraph()
graph.add_edges_from(
    [
        ("n1", "n2", {"weight": 1.0}),
        ("n2", "n3", {"weight": 1.0}),
        ("n3", "n4", {"weight": 1.0}),
        ("n4", "n2", {"weight": 1.0}),
    ]
)
graph = grs.create_graph_from_networkx(graph, weight="weight")

License

MIT