Unsupervised Differentiable Multi-aspect Network Embedding

7 Jun 2020 Chanyoung Park Carl Yang Qi Zhu Donghyun Kim Hwanjo Yu Jiawei Han

Network embedding is an influential graph mining technique for representing nodes in a graph as distributed vectors. However, the majority of network embedding methods focus on learning a single vector representation for each node, which has been recently criticized for not being capable of modeling multiple aspects of a node... (read more)

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