what decision / downstream process is going to consume the 1B node graph render? is producing a render really necessary for that decision, or is rendering the

what decision / downstream process is going to consume the 1B node graph render? is producing a render really necessary for that decision, or is rendering the graph waste? is there a way you can subsample or simplify or approximate the graph that'd be good enough? in some domains, certain problems that are defined on graphs can be simplified by pre-processing the graph, to reduce the problem to a simpler problem. e.g. maybe trees can be contracted to points, or chains can be replaced with a single edge, or so on. these tricks are sometimes necessary to get scalable solution approaches in industrial applications of optimisation / OR methods to solve problems defined on graphs. a solution recovered on the simplified graph can be "trivially" extended back to the full original graph, given enough post-processing logic. if such graph simplifications make sense for your domain, can you preprocess and simplify your input graph until you hit a fixed point, then visualise the simplified result? (maybe it contracts to 1 node!)