SENA: Preserving Social Structure for Network Embedding
HT, pp. 235-244, 2017.
Network embedding transforms a network into a continuous feature space. Network augmentation, on the other hand, leverages this feature representation to obtain a more informative network by adding potentially plausible edges while removing noisy edges. Traditional network embedding methods are often inefficient in capturing - (i) the lat...More
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