HyperGCN-TransDTA: A Novel Hypergraph-Transformer Architecture for Drug-Target Interaction Prediction

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{209873,
        author = {Selvakumar G. and Dr. Rajendran G.},
        title = {HyperGCN-TransDTA: A Novel Hypergraph-Transformer Architecture for Drug-Target Interaction Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {5},
        pages = {3545-3558},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=209873},
        abstract = {},
        keywords = {Binding Affinity Prediction, Drug–Target Interaction Prediction, Hypergraph Neural Networks, Transformer-based Cross-Attention.},
        month = {October},
        }

Cite This Article

G., S., & G., D. R. (2026). HyperGCN-TransDTA: A Novel Hypergraph-Transformer Architecture for Drug-Target Interaction Prediction. International Journal of Innovative Research in Technology (IJIRT), 13(5), 3545–3558.

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