DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph

Research article (Briefings in Bioinformatics, 2022) · cited 89× · AI/ML
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DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph

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DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph. Retrieved May 24, 2026, from https://4ort.xyz/entity/dti-heta-prediction-of-drugtarget-interactions-based-on-gcn-and-gat-on-heterogeneous-graph
MLA “DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dti-heta-prediction-of-drugtarget-interactions-based-on-gcn-and-gat-on-heterogeneous-graph.
BibTeX @misc{4ortxyz_dti-heta-prediction-of-drugtarget-interactions-based-on-gcn-and-gat-on-heterogeneous-graph_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph}}, year = {2026}, url = {https://4ort.xyz/entity/dti-heta-prediction-of-drugtarget-interactions-based-on-gcn-and-gat-on-heterogeneous-graph}, note = {Accessed: 2026-05-24}}
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