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@space-cadet/graph-core

v0.1.3

Published

Abstract graph structures and generators

Readme

@space-cadet/graph-core

Pure graph theory library built on Graphology. Provides typed interfaces, graph generators, matrix operations, and spectral methods.

Install

npm install @space-cadet/graph-core

Quick Start

import { GraphologyAdapter, regularGrid } from '@space-cadet/graph-core';

// Create a graph
const graph = new GraphologyAdapter('my-graph');

// Or use a generator
const lattice = regularGrid(5, 5); // 5×5 lattice

// Access spectral properties
console.log(lattice.spectralRadius());

Features

  • Typed graph interfaces (IGraph, IGraphNode, IGraphEdge)
  • Graphology adapter — battle-tested graph data structure
  • Graph generators — lattices, trees, random graphs
  • Matrix operations — adjacency, Laplacian via mathjs
  • Spectral methods — power iteration for largest eigenvalue

API

GraphologyAdapter

Core graph implementation using Graphology.

const graph = new GraphologyAdapter('id');
graph.addNode({ id: 'a', type: 'node', properties: {} });
graph.addEdge({ id: 'e1', sourceId: 'a', targetId: 'b', directed: false, type: 'default', properties: {} });

Graph Generators

import { regularGrid, createTree, createRandomGraph } from '@space-cadet/graph-core';

const grid = regularGrid(10, 10);     // 2D lattice
const tree = createTree(5, 2);         // 5-level binary tree
const random = createRandomGraph(20, 0.1); // 20 nodes, 10% edge probability

Spectral Methods

const radius = graph.spectralRadius(); // Power iteration
const adj = graph.toAdjacencyMatrix(); // mathjs Matrix
const lap = graph.toLaplacianMatrix(); // mathjs Matrix

License

MIT