Attention Models with Random Features for Multi-layered Graph Embeddings

2 Oct 2018Uday Shankar ShanthamalluJayaraman J. ThiagarajanHuan SongAndreas Spanias

Modern data analysis pipelines are becoming increasingly complex due to the presence of multi-view information sources. While graphs are effective in modeling complex relationships, in many scenarios a single graph is rarely sufficient to succinctly represent all interactions, and hence multi-layered graphs have become popular... (read more)

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