GRANOLA: An Adaptive Normalization Layer for Enhancing Graph Neural Networks

GRANOLA is a novel graph-adaptive normalization layer that adjusts node features by leveraging learnable characteristics of the neighborhood structure, outperforming existing normalization techniques across diverse graph benchmarks.