Flowette: Flow Matching with Graphette Priors for Graph Generation

In three linesFlowette is a continuous flow matching framework for graph generation with recurring subgraph motifs. The model uses a GNN-based transformer to learn a velocity field, incorporates optimal transport-based coupling, and introduces graphettes, a probabilistic family of graph structure models generalizing graphons. Achieves state-of-the-art results on multiple benchmarks.

Summary generated by Claude — human-verified