Rigoni, D., Navarin, N., & Sperduti, A. (2025). RGCVAE: relational graph conditioned variational autoencoder for molecule design. Machine Learning, 114(2). https://doi.org/10.1007/s10994-024-06638-4
ISO-690 (author-date, English)RIGONI, Davide, NAVARIN, Nicolò und SPERDUTI, Alessandro, 2025. RGCVAE: relational graph conditioned variational autoencoder for molecule design. Machine Learning. 1 Februar 2025. Vol. 114, no. 2, . DOI 10.1007/s10994-024-06638-4.
Modern Language Association 9th editionRigoni, D., N. Navarin, und A. Sperduti. „RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design“. Machine Learning, Bd. 114, Nr. 2, Februar 2025, https://doi.org/10.1007/s10994-024-06638-4.
Mohr Siebeck - Recht (Deutsch - Österreich)Rigoni, Davide/Navarin, Nicolò/Sperduti, Alessandro: RGCVAE: relational graph conditioned variational autoencoder for molecule design, Machine Learning 2025,
Emerald - HarvardRigoni, D., Navarin, N. und Sperduti, A. (2025), „RGCVAE: relational graph conditioned variational autoencoder for molecule design“, Machine Learning, Vol. 114 No. 2, verfügbar unter:https://doi.org/10.1007/s10994-024-06638-4.