2 papers
stat.ML2026
SNACK: A Sequential Notation Framework for Probabilistic Graph Generation
Hohyun Kim, Hyesung Kim, Min-hwan Oh +1
We introduce SNACK, a string representation for probabilistic graph generation that enables language models to generate graphs with discrete node and edge features. SNACK linearize…
stat.ML2025
Symmetry-Aware GFlowNets
Hohyun Kim, Seunggeun Lee, Min-hwan Oh
Generative Flow Networks (GFlowNets) offer a powerful framework for sampling graphs in proportion to their rewards. However, existing approaches suffer from systematic biases due t…