[kanitw]

Note that a dataflow graph is generally a directed graph (which is domain agnostic). Thus it can always be visualized in some ways.

There are also many generally applicable directed graph drawing techniques in academic literature. (You can see some in the related work section in the paper.)

That said, in different domains, people may apply different sets of layout and visual encoding techniques due to the differences in semantics and characteristic of the graphs.

For example, in this TensorFlow Graph Vis project, we chose to build a hierarchical clustered graph to provide high-level overview, bundle edges to facilitate interactive expansion, and detach unimportant nodes from the main layout to declutter the graph.