Implications of sparsity and high triangle density for graph representation learning

no code implementations • 27 Oct 2022 • Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy

Recent work has shown that sparse graphs containing many triangles cannot be reproduced using a finite-dimensional representation of the nodes, in which link probabilities are inner products.

Graph Representation Learning Vocal Bursts Intensity Prediction