AINeutralarXiv – CS AI · 10h ago6/10
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RAwR: Role-Aware Rewiring via Approximate Equitable Partition
Researchers introduce RAwR, a graph neural network rewiring framework that addresses the oversquashing problem by augmenting graphs with quotient graphs derived from equitable partitions. The method improves GNN performance on long-range prediction tasks while maintaining computational efficiency and demonstrates state-of-the-art results across diverse benchmarks.