graph

relationalai.semantics.reasoners

Graph reasoning: model graphs and run graph algorithms in PyRel.

Provides a declarative Python API for constructing directed or undirected, weighted or unweighted graphs in a Model and running algorithms over them.

This package is intentionally lightweight at the import surface: Graph is the main entry point, and algorithm-level details are documented on each Graph method.

Quick Start

Build a small directed graph and compute node outdegree.

from relationalai.semantics import Model, Integer
from relationalai.semantics.reasoners.graph import Graph

model = Model("quick_start")
graph = Graph(model, directed=True, weighted=False)
Node, Edge = graph.Node, graph.Edge

n1 = Node.new(id=1)
n2 = Node.new(id=2)
n3 = Node.new(id=3)
n4 = Node.new(id=4)

model.define(n1, n2, n3, n4)

model.define(
    Edge.new(src=n1, dst=n2),
    Edge.new(src=n2, dst=n3),
    Edge.new(src=n3, dst=n1),
    Edge.new(src=n3, dst=n4),
)

outdegree = graph.outdegree()
model.select(Node.id, Integer).where(outdegree(Node, Integer)).inspect()

Classes

Classes exposed by this module.

Graph A graph defined within a PyRel model, over which graph algorithms can be computed. Re-exported from relationalai.semantics.reasoners.graph.core.

Modules and Subpackages

Submodules and subpackages available under this namespace.

core Core functionality for the graphs package.

Referenced By

RelationalAI Documentation
└──  Build With RelationalAI
    └──  Understand how PyRel works > Use advanced reasoning > Graph reasoning
        └──  Create a graph