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An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction

Research article (Briefings in Bioinformatics, 2020) · cited 179× · AI/ML
academia openalex:W3126516421
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An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction

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An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-end-to-end-heterogeneous-graph-representation-learning-based-framework-for-drugtarget-interaction-prediction
MLA “An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-end-to-end-heterogeneous-graph-representation-learning-based-framework-for-drugtarget-interaction-prediction.
BibTeX @misc{4ortxyz_an-end-to-end-heterogeneous-graph-representation-learning-based-framework-for-drugtarget-interaction-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction}}, year = {2026}, url = {https://4ort.xyz/entity/an-end-to-end-heterogeneous-graph-representation-learning-based-framework-for-drugtarget-interaction-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction — https://4ort.xyz/entity/an-end-to-end-heterogeneous-graph-representation-learning-based-framework-for-drugtarget-interaction-prediction (retrieved 2026-05-24)

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