# SINE: Scalable Incomplete Network Embedding

Attributed network embedding aims to learn low-dimensional vector representations for nodes in a network, where each node contains rich attributes/features describing node content.

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# Binarized Attributed Network Embedding

To this end, we present a Binarized Attributed Network Embedding model (BANE for short) to learn binary node representation.

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