GIAE-DTI: Predicting Drug-Target Interactions Based on Heterogeneous Network and GIN-Based Graph Autoencoder
Accurate prediction of drug-target interactions (DTIs) is essential for advancing drug discovery and repurposing. However, the sparsity of DTI data limits the effectiveness of existing computational methods, which primarily focus on sparse DTI networks and have poor performance in aggregating inform...
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| Published in: | IEEE journal of biomedical and health informatics Vol. 29; no. 11; pp. 7896 - 7909 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
IEEE
01.11.2025
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| Subjects: | |
| ISSN: | 2168-2194, 2168-2208, 2168-2208 |
| Online Access: | Get full text |
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