Similarity Modeling on Heterogeneous Networks via Automatic Path DiscoveryEI

摘要

Heterogeneous networks are widely used to model real-world semi-structured data. The key challenge of learning over such networks is the modeling of node similarity under both network structures and contents. To deal with network structures, most existing works assume a given or enumerable set of meta-paths and then leverage them for the computation of meta-path-based proximities or network embeddings. However, expert knowledge for given meta-paths is not always available, and as the length of considered meta-paths increases, the numb...更多
个人信息

 

您的评分 :

pp. 37-54, 2018.

被引用次数0|引用|0
标签
作者
评论