1 citations · 2 across the 3 of their papers we have counts for
3 papers
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models
Samuel Cognolato, Alessandro Sperduti, Luciano Serafini
Graph generative models can be classified into two prominent families: one-shot models, which generate a graph in one go, and sequential models, which generate a graph by successiv…
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
Large Language Models (LLMs) achieve impressive performance in a wide range of tasks, even if they are often trained with the only objective of chatting fluently with users. Among…
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
Identifying molecules that exhibit some pre-specified properties is a difficult problem to solve. In the last few years, deep generative models have been used for molecule generati…