Implicit Neural Representations for Variational Problems on Graphons
arXiv:2610.32147v1 Announce Type: new 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 central to two parts of the mathematical liter…
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- 2026-10-26 04:00 · arXiv stat.ML
Implicit Neural Representations for Variational Problems on Graphons