Network Embedding Using Deep Robust Nonnegative Matrix Factorization
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DOI: 10.1109/access.2020.2992269
Abstract: As an effective technique to learn low-dimensional node features in complicated network environment, network embedding has become a promising research direction in the field of network analysis. Due to the virtues of better interpretability and… read more here.
Keywords: matrix factorization; network embedding; deep robust; factorization ... See more keywords
Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein Sequences
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DOI: 10.1109/tcbb.2019.2911609
Abstract: The order of amino acids in a protein sequence enables the protein to acquire a conformation suitable for performing functions, thereby motivating the need to analyze these sequences for predicting functions. Although machine learning based… read more here.
Keywords: sized segments; deep robust; multi sized; percent ... See more keywords