ddDT-GFM¶
Generalized graph foundation models as versatile data-driven digital twins for complex technological systems.
The package uses the flexibility of spatiotemporal graph neural networks (st-GNNs) to apply a single self-supervised methodology across conceptually different systems: solar photovoltaic fleets, direct ink write additive manufacturing, and laser powder bed fusion.