13 citations · 15 across the 2 of their papers we have counts for
2 papers
q-bio.QM2023★ 13 cited
SELFormer: Molecular Representation Learning via SELFIES Language Models
Atakan Yüksel, Erva Ulusoy, Atabey Ünlü +1
Automated computational analysis of the vast chemical space is critical for numerous fields of research such as drug discovery and material science. Representation learning techniq…
q-bio.MN2023★ 2 cited
Democratising Knowledge Representation with BioCypher
Sebastian Lobentanzer, Patrick Aloy, Jan Baumbach +26
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods. To facilitate h…