using R's `igraph` and `ggraph` to plot a graph with 8 milion edges nodes and 32 milion edges in a stress layout

Question

I need to visualize a graph in R using ggraph. Smaller graphs (~30k edges) gave me reasonable plots with this code

library(ggraph)
layout_stress <- graphlayouts::layout_with_sparse_stress(fullg_siblings_focus, pivots = 250)
ggg <- ggraph(graph, layout=layout_stress) +
    geom_edge_arc(aes(color=link))

Now that my graph has 7 m nodes, I get this error when I call layout_with_sparse_stress()

Error in sparseStress(y, D, RpL, pivs, A, iter) : 
  SpMat::init(): requested size is too large; suggest to enable ARMA_64BIT_WORD

So it seems no ggraph/igraph layout is suitable for such a large graph. Or is there a way to fix this?