Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies
arXiv:2609.28670v1 Announce Type: cross Abstract: Graph-based world models have recently emerged as a means of learning transitions over relational state representations. However, existing approaches are largely limited to fixed-topology graphs or deterministic, fully observable environments. We…