no code implementations • 26 Jan 2023 • Kimia Shayestehfard, Dana Brooks, Stratis Ioannnidis
It is challenging for generative models to learn a distribution over graphs because of the lack of permutation invariance: nodes may be ordered arbitrarily across graphs, and standard graph alignment is combinatorial and notoriously expensive.
