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researcher

Davide Rigoni

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedA Systematic Assessment of Deep Learning Models for Molecule Generation

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020

Conditional Constrained Graph Variational Autoencoders for Molecule Design

Davide Rigoni, Nicolò Navarin, Alessandro Sperduti

In recent years, deep generative models for graphs have been used to generate new molecules. These models have produced good results, leading to several proposals in the literature…

cs.LG2020★ 5 cited

A Systematic Assessment of Deep Learning Models for Molecule Generation

Davide Rigoni, Nicolò Navarin, Alessandro Sperduti

In recent years the scientific community has devoted much effort in the development of deep learning models for the generation of new molecules with desirable properties (i.e. drug…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.