memgraph-aco-queries

What problem does it solve?

This Skill provides powerful queries and analysis for Ant Colony Optimization (ACO) pheromone graphs in Memgraph. It helps data scientists and software engineers quickly identify high-potential prime candidates, monitor convergence, and validate pathways toward factoring RSA-style moduli.

Core Features & Use Cases

• Pheromone graph analysis: Retrieve and compare candidate nodes by pheromone strength and fitness.
• Convergence monitoring: Track hot candidates and overall collaboration toward factoring targets.
• Prime factor discovery support: Mark factors and verify candidate paths against the target modulus.
• Use Case: When experimenting with swarm intelligence for educational RSA demonstrations, quickly surface the leading factor candidates from a Memgraph-backed graph.

Quick Start

1. Ensure Memgraph is running locally or remotely and accessible at the standard port.
2. In Python, connect to Memgraph with the gqlalchemy client: mg = Memgraph(host="localhost", port=7687)
3. Load prime candidates into the graph, inspect top pheromone trails, and identify leading factor candidates with a few simple Cypher queries.