arxiv
PublishedSeptember 7, 2026 at 4:00 AM
—neutral
LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN
Publisher summary· verbatim
arXiv:2608.09596v2 Announce Type: replace-cross Abstract: Graph Neural Networks (GNNs) suffer from two fundamental limitations: over-smoothing, where node representations become indistinguishable with depth, and over-squashing, where long-range information is compressed through limited message-passi
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Originally published on arxiv ↗