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As heterogeneous networks have become increasingly ubiquitous, Heterogeneous Information Network (HIN) embedding, aiming to project nodes into a low-dimensional space while preserving the heterogeneous structure, has drawn increasing attention in recent years. Many of the existing HIN embedding methods adopt meta-path guided random walk to retain both the semantics and structural correlations between different types of nodes. However, the selection of meta-paths is still an open problem, whichdoi:10.24963/ijcai.2020/190 dblp:conf/ijcai/ZhaoWSLY20 fatcat:32hdufftejd75e2lbbnqrlizdi