{
  "id": 18697,
  "url": "https://arxiv.org/abs/2608.10619v1",
  "title": "Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment",
  "summary": "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",
  "authors": "Yan Wang, Chuan-Xian Ren",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T08:05:32.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18697",
  "original_url": "https://arxiv.org/abs/2608.10619v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}