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.