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Search results with tag "Network embedding"
Structural Deep Network Embedding - SIGKDD
www.kdd.orgnetwork structure well and are robust to sparse networks. In summary, the contributions of this paper are listed as follows: We propose a Structural Deep Network Embedding method, namely SDNE, to perform network embedding. The method is able to map the data to a highly non-linear latent space to preserve the network structure and is robust to ...
Collaborative Knowledge Base Embedding for Recommender …
www.kdd.orgnetwork embedding method, termed as TransR, to extract items’ structural representations by considering the heterogeneity of both nodes and relationships. We apply stacked denoising auto-encoders and stacked convolutional auto-encoders, which are two types of deep learning based embedding techniques, to extract items’ tex-