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HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties
Research article (Methods, 2022) · cited 15× · AI/ML
HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties
Summary
HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties is a scholarly article[1].
Key Facts
HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/hpe-gcn-predicting-efficacy-of-tonic-formulae-via-graph-convolutional-networks-integrating-traditionally-defined-herbal-
MLA“HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hpe-gcn-predicting-efficacy-of-tonic-formulae-via-graph-convolutional-networks-integrating-traditionally-defined-herbal-.
BibTeX@misc{4ortxyz_hpe-gcn-predicting-efficacy-of-tonic-formulae-via-graph-convolutional-networks-integrating-traditionally-defined-herbal-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties}}, year = {2026}, url = {https://4ort.xyz/entity/hpe-gcn-predicting-efficacy-of-tonic-formulae-via-graph-convolutional-networks-integrating-traditionally-defined-herbal-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties — https://4ort.xyz/entity/hpe-gcn-predicting-efficacy-of-tonic-formulae-via-graph-convolutional-networks-integrating-traditionally-defined-herbal- (retrieved 2026-05-24)
