Flowette: Flow Matching with Graphette Priors for Graph Generation

Researchers propose Flowette, a new AI framework for generating graphs with recurring structural patterns using continuous flow matching and graph neural networks. The model introduces 'graphettes' as probabilistic priors to better capture domain-specific structures like molecular patterns, showing improvements in synthetic and small-molecule generation tasks.