Hi! Question about internals/FeatGraph here. It’s obvious to me what happens to the `rhs_data`

for these (GE-SpMM/SDDMM) functions, but I’m interested in what’s going on with `lhs_data`

for both of them. I would expect the LHS to be the sparse adjacency matrix. Is the `lhs_data`

being substituted into the sparse matrix for the values, or even originally stored as the sparse matrix?

Could someone post a brief pseudocode? I couldn’t find any in the papers, and once I got to templates in the repo I figured I’d ask here before diving deeper.