Deep Inductive Matrix Completion for Biomedical Interaction Prediction
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In this paper, we propose a novel model called Deep Inductive Matrix Completion (DIMC) for nonlinear inductive matrix completion, which consists of two deep-�...
Abstract—In many real tasks, side information in addition to the observed entries is available in the matrix completion problem.
Interaction Prediction 100% � Inductive Matrix Completion 100% � Neural Network 28% � Latent Feature 28% � State-of-the-art Techniques 14% � Parallel Algorithm 14%.
Nov 1, 2019 � In this paper, we propose a novel model called Deep Inductive Matrix Completion (DIMC) for nonlinear inductive matrix completion, which consists�...
... Bioinformatics and Biomedicine (BIBM) , 2019, p.bty503-527 ,. Deep Inductive Matrix Completion for Biomedical Interaction Prediction Available Online�...
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