Lorenzo Livi

2 accepted papers

2021

Learning Graph Cellular Automata

Daniele Grattarola, Lorenzo Livi, Cesare Alippi

NeurIPS 2021poster

Cellular automata (CA) are a class of computational models that exhibit rich dynamics emerging from the local interaction of cells arranged in a regular lattice. In this work we focus on a generalised version of typical CA, called graph cellular automata (GCA), in which the lattice structure is rep…

Cited by 42 Source ↗PDF ↗code ↗Scholar ↗

2020

Graph Random Neural Features for Distance-Preserving Graph Representations

Daniele Zambon, Cesare Alippi, Lorenzo Livi

ICML 2020poster

We present Graph Random Neural Features (GRNF), a novel embedding method from graph-structured data to real vectors based on a family of graph neural networks. The embedding naturally deals with graph isomorphism and preserves the metric structure of the graph domain, in probability. In addition to…

Cited by 17 Source ↗PDF ↗code ↗Scholar ↗