Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment
Message-passing neural networks (MPNNs) often struggle when task-relevant information is distributed across distant regions of a graph, since local propagation must compress remote signals through limited structural interfaces. Graph rewiring provides a structural response to over-squashing. Most existing methods rely on edge-level bottleneck scores or graph-level connectivity surrogates. With a limited rewiring budget, the key question is which pairwise communications most need structural suppo
Record details
Published: 11 August 2026
Source: arXiv cs.LG
Category: Research
Topics: Safety & alignment
Retrieved: 12 August 2026
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ethics.ai (11 August 2026), “Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment,” evidence record 18697, https://ethics.ai/record/18697 (originally published by arXiv cs.LG).
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