Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation

Research article (Journal of Cheminformatics, 2022) · cited 21× · AI/ML
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Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation

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Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-concept-of-pharmacophore-with-graph-neural-networks-for-chemical-property-prediction-and-interpretation
MLA “Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-concept-of-pharmacophore-with-graph-neural-networks-for-chemical-property-prediction-and-interpretation.
BibTeX @misc{4ortxyz_integrating-concept-of-pharmacophore-with-graph-neural-networks-for-chemical-property-prediction-and-interpretation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-concept-of-pharmacophore-with-graph-neural-networks-for-chemical-property-prediction-and-interpretation}, note = {Accessed: 2026-05-24}}
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