Relation-Guided Representation Learning
NEURAL NETWORKS, pp. 93-102, 2020.
Deep auto-encoders (DAEs) have achieved great success in learning data representations via the powerful representability of neural networks. But most DAEs only focus on the most dominant structures which are able to reconstruct the data from a latent space and neglect rich latent structural information. In this work, we propose a new repr...More
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