Implicit Neural Representations for Variational Problems on Graphons.

arXiv:2610.32147v1 Announce Type: cross Abstract: We propose a neural exploratory framework for variational problems over graphons, i.e., symmetric measurable functions $[0,1]^2 \to [0,1]$, that arise as limits of dense graph sequences. Such problems are centr