DMGA: Revolutionizing Shortest Path Search in Multistage Graphs As data gets bigger and systems grow more distributed, traditional graph algorithms often struggle to keep up — especially when dealing with niche but critical structures like multistage graphs . That’s where the research paper “DMGA: A Distributed Shortest Path Algorithm for Multistage Graph” steps in, offering a tailored, scalable solution to a longstanding challenge. What’s a Multistage Graph Anyway? In simple terms, a multistage graph is a type of directed, weighted graph where nodes are arranged in distinct “stages,” and connections only flow from one stage to the next. Think of it like a production line where each step (stage) must be completed before moving to the next, and the goal is to find the most efficient overall path from start to finish. These structures appear in areas like task scheduling in high-performance computing, project management, transportation systems, and more. The Problem with Existing...