Killian Cressant

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN

This paper proposes LEED (Local Embedding Evolution Distance), a novel local metric that quantifies over-smoothing by tracking the evolution of individual node embeddings across layers, and uses LEED as a unique criterion to guide the construction of Local Virtual Nodes to mitigate over-squashing.