DiffusionPress: K-Hop Graph Features for Tabular ML

A service that runs a one-time multi-hop diffusion over a company's graph data (who transacts with whom, who interacts with whom) and outputs a plain per-node feature table that plugs into existing regression, boosting, or autoML models — no graph neural network ever gets trained or deployed.