H2GnnDTI: hierarchical heterogeneous graph neural networks for drug–target interaction prediction

Authors

Yanguo Jing (ORCID: https://orcid.org/0000-0001-9581-4215)
Dongxue Zhang (ORCID: https://orcid.org/0000-0002-5714-7893)
Limin Li (ORCID: https://orcid.org/0000-0003-3572-6832)

Institutions

Xi'an Jiaotong University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-03-17
DOI: https://doi.org/10.1093/bioinformatics/btaf117
Citations: 6
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 9.03

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article

H2GnnDTI: hierarchical heterogeneous graph neural networks for drug–target interaction prediction

Yanguo Jing, Dongxue Zhang, Limin Li

Mar 17, 2025

6 citations

Bioinformatics

Computational Drug Discovery Methods

9.03

article

H2GnnDTI: hierarchical heterogeneous graph neural networks for drug–target interaction prediction

Yanguo Jing, Dongxue Zhang, Limin Li

March 17, 2025article en

6 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(4)

Xi'an Jiaotong University (CN)

Openalex Percentile: Top 2%

Computational Drug Discovery Methods

9.03

DOI Open Access PDF OpenAlex

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H2GnnDTI: hierarchical heterogeneous graph neural networks for drug–target interaction prediction — Yanguo Jing, Dongxue Zhang, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS