A Structure-Enriched Neural Network for network embedding

Published: 2019, Last Modified: 23 Jan 2026Expert Syst. Appl. 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A structure-enriched framework for network embedding from a holistic perspective.•Introducing the direction tuning parameters into multi-order transition matrices.•Using the denoise autoencoder to do the dimension reduction of multi-order matrices.•Employing the method with attention mechanism to combine multi-order information.
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