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Chapter and Conference Paper
Deep Attributed Network Embedding Based on the PPMI
The attributed network embedding aims to learn the latent low-dimensional representations of nodes, while preserving the neighborhood relationship of nodes in the network topology as well as the similarities o...
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Chapter and Conference Paper
A Dual Fusion Model for Attributed Network Embedding
Attributed network embedding (ANE) maps nodes in network into the low-dimensional space while preserving proximities of both node attributes and network topology. Existing methods for ANE integrated node attri...