Learning molecular classes from small numbers of positive examples using graph grammars

DOI10.1007/978-3-030-74432-8_1zbMath1477.92030OpenAlexW3167852813MaRDI QIDQ2061988

Domenico Mosca, Ernst Althaus, Andreas Hildebrandt

Publication date: 21 December 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-74432-8_1

zbMATH Keywords

graph grammarsmachine learningmolecular classes

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Molecular structure (graph-theoretic methods, methods of differential topology, etc.) (92E10) Chemical graph theory (05C92)

Cites Work

• Unnamed Item

This page was built for publication: Learning molecular classes from small numbers of positive examples using graph grammars