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Giorgia Minello

2 accepted papers

2025

Generating Graphs via Spectral Diffusion

ICLR 2025poster

In this paper, we present GGSD, a novel graph generative model based on 1) the spectral decomposition of the graph Laplacian matrix and 2) a diffusion process. Specifically, we propose to use a denoising model to sample eigenvectors and eigenvalues from which we can reconstruct the graph Laplacian a…

Cited by 0SourcePDFScholar
2020

The Average Mixing Kernel Signature

ECCV 2020poster

We introduce the Average Mixing Kernel Signature (AMKS), a novel signature for points on non-rigid three-dimensional shapes based on the average mixing kernel and continuous-time quantum walks. The average mixing kernel holds information on the average transition probabilities of a quantum walk betw…