Recent advances in Artificial Intelligence (AI) have led to new solutions for scientific problems. Yet, to fully exploit the potential of these tools, human researchers must understand the AI-generated proposals to extrapolate the findings, a task for which current algorithms are unsuited. To assist researchers in analyzing complex AI-generated solutions, we introduce AriadneVR, an immersive virtual reality (VR) environment for the visualization and manipulation of graphs. In particular, our tool works with an abstract representation of quantum optics experiments using colored weighted graphs. To showcase the benefits of our software, we present a new resource-efficient 3-dimensional entanglement swapping scheme and a 3-dimensional 4-particle GHZ state analyzer. Our results show the potential of VR to enhance researchers' ability to extract knowledge from graph-based generative AI, a widely used data representation in science.