4.7 Article

MultiDTI: drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network

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Summary: In order to improve the identification of DTIs, a DPP network was established and a novel learning framework GCN-DTI was proposed. The method utilizes graph convolutional networks to learn DPP features and deep neural networks to predict final DTI labels, outperforming existing approaches significantly.

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