SINE: Scalable Incomplete Network Embedding

ICDM 2018 Daokun ZhangJie YinXingquan ZhuChengqi Zhang

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. Because network topology structure and node attributes often exhibit high correlation, incorporating node attribute proximity into network embedding is beneficial for learning good vector representations... (read more)

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