Schematic overview of the pattern recognition approach.

The data is passed as a graph containing the cells as nodes and their cell fates as node features. Neighboring cells are connected by an edge. A combination of graph convolutional layers and densely connected layers generates a prediction of the dispersion parameter q as output.