Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective
arXiv:2610.04157v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) often struggle to capture long-range dependencies due to over-squashing -- a phenomenon in which the repeated compression of node embeddings into finite-size messages causes representations to collapse. Over-squashing is m…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-06 04:00 · arXiv stat.ML
Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective