Discrete Bayesian Sample Inference for Graph Generation
arXiv:2511.03015v2 Announce Type: replace
Abstract: Generating graph-structured data is crucial in applications such as molecular generation, knowledge graphs, and network analysis. However, their discrete, unordered nature makes them difficult for tr…