期刊
2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
卷 -, 期 -, 页码 1223-1225出版社
IEEE
DOI: 10.1109/bibm47256.2019.8983018
关键词
Drug-Target Interaction; Graph Convolutional Networks; Link Prediction
In this paper, a heterogeneous graph of drug-target entities are constructed to predict drug-protein interactions. We use a deep learning approach and apply an encoder-decoder technique in an end-to-end manner directly on a full-scale heterogeneous graph. The proposed method not only achieves performance improvement over previous state-of-the-art techniques, but also integrates additional information into the model for a more comprehensive analysis.
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