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GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks

Research article (Methods, 2022) · cited 19× · AI/ML
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GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks

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GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks is a scholarly article[1].

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  • GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/gchn-dti-predicting-drug-target-interactions-by-graph-convolution-on-heterogeneous-networks
MLA “GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gchn-dti-predicting-drug-target-interactions-by-graph-convolution-on-heterogeneous-networks.
BibTeX @misc{4ortxyz_gchn-dti-predicting-drug-target-interactions-by-graph-convolution-on-heterogeneous-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks}}, year = {2026}, url = {https://4ort.xyz/entity/gchn-dti-predicting-drug-target-interactions-by-graph-convolution-on-heterogeneous-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks — https://4ort.xyz/entity/gchn-dti-predicting-drug-target-interactions-by-graph-convolution-on-heterogeneous-networks (retrieved 2026-05-24)

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