Scaffold: Support Graph Theory Based Sparsification for Graph Neural Networks
Graph neural networks (GNNs) rely on message passing over graph edges, making their computational and memory costs strongly dependent on graph density. Graph sparsification offers a natural way to reduce these costs, but removing edges indiscriminately can distort important communication structure and degrade predictiv...
Siddhartha Shankar Das, S. Navuluru, S. M. Ferdous et al.
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