SENSEi: Input-Sensitive Compilation for Accelerating Graph Neural Networks
SENSEi introduces novel input-sensitive sparse-dense matrix compositions for accelerating GNNs, achieving significant speedups by dynamically selecting the best primitive composition based on input attributes.
