25 citations · 41 across the 13 of their papers we have counts for
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cs.LG2022
Spectral Maps for Learning on Subgraphs
Marco Pegoraro, Riccardo Marin, Arianna Rampini +3
In graph learning, maps between graphs and their subgraphs frequently arise. For instance, when coarsening or rewiring operations are present along the pipeline, one needs to keep…
quant-ph2022★ 10 cited
Certification of Gaussian Boson Sampling via graph theory
Taira Giordani, Valerio Mannucci, Nicolò Spagnolo +4
Gaussian Boson Sampling is a non-universal model for quantum computing inspired by the original formulation of the Boson Sampling problem. Nowadays, it represents a paradigmatic qu…