Suchergebnisse - "Constrained Graph Variational Autoencoder"
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Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 23.04.2021Veröffentlicht in arXiv.org (23.04.2021)“… (commonly known as SARS-CoV-2). We proposed a new model called Genetic Constrained Graph Variational Autoencoder (GCGVAE …”
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Conditional Constrained Graph Variational Autoencoders for Molecule Design
Veröffentlicht: IEEE 01.12.2020Veröffentlicht in 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (01.12.2020)“… We present Conditional Constrained Graph Variational Autoencoder (CCGVAE), a model that implements this key-idea in a state-of-the-art model, and shows improved results …”
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Conditional Constrained Graph Variational Autoencoders for Molecule Design
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 01.09.2020Veröffentlicht in arXiv.org (01.09.2020)“… We present Conditional Constrained Graph Variational Autoencoder (CCGVAE), a model that implements this key-idea in a state-of-the-art model, and shows improved results …”
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Constrained Graph Variational Autoencoders for Molecule Design
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 07.03.2019Veröffentlicht in arXiv.org (07.03.2019)“… Graphs are ubiquitous data structures for representing interactions between entities. With an emphasis on the use of graphs to represent chemical molecules, we …”
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