Exploring Heterogeneous Information Networks via Pre-Training

7 Jul 2020Yang FangXiang ZhaoWeidong Xiao

To explore heterogeneous information networks (HINs), network representation learning (NRL) is proposed, which represents a network in a low-dimension space. Recently, graph neural networks (GNNs) have drawn a lot of attention which are very expressive for mining a HIN, while they suffer from low efficiency issue... (read more)

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