Decoupled Prune-and-Reconstruct: Training on a Compact Core with Double-Layer Sparsification.

arXiv:2610.34140v1 Announce Type: cross Abstract: On million-node graphs, the memory wall arrives before the compute wall: a GNN that never fits in VRAM cannot deliver the all-node inference its accuracy promises. The standard remedy, pruning, has always been