Network Embedding Using Semi-Supervised Kernel Nonnegative Matrix Factorization
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DOI: 10.1109/access.2019.2927496
Abstract: Network embedding, aiming to learn low-dimensional representations of nodes in networks, is very useful for many vector-based machine learning algorithms and has become a hot research topic in network analysis. Although many methods for network… read more here.
Keywords: supervised kernel; network embedding; using semi; semi supervised ... See more keywords