Flowette: Flow Matching with Graphette Priors for Graph Generation.

arXiv:2602.23566v5 Announce Type: replace-cross Abstract: We study generative modeling of graphs with recurring subgraph motifs. We propose Flowette, a continuous flow matching framework that employs a graph neural network-based transformer to learn a velocity