2024
DOI: 10.26599/tst.2023.9010044
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Metarelation2vec: A Metapath-Free Scalable Representation Learning Model for Heterogeneous Networks

Lei Chen,
Yuan Li,
Yong Lei
et al.

Abstract: Metapaths with specific complex semantics are critical to learning diverse semantic and structural information of heterogeneous networks (HNs) for most of the existing representation learning models. However, any metapaths consisting of multiple, simple metarelations must be driven by domain experts. These sensitive, expensive, and limited metapaths severely reduce the flexibility and scalability of the existing models. A metapathfree, scalable representation learning model, called Metarelation2vec, is propose… Show more

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