Showing 61 - 80 results of 101 for search '"(heinrich OR enrich) (hsine" OR (hein" OR hin"))', query time: 0.11s Refine Results
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    Graph representation learning by Zhang, Xinyi

    Published 2022
    “…By analyzing the advantages and disadvantages of the previously proposed work which include both GNN-based and graph embedding based methods, a novel HIN embedding method named eHIN is proposed. eHIN is designed to address the existing problems in current node representation learning algorithms (including mSHINE) for HIN by combing the techniques from the GNN-based methods. …”
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    Thesis-Doctor of Philosophy
  12. 72

    Multi-facet in heterogeneous information network representation learning by Zhao, Tianqi

    Published 2020
    “…Most of the networks we encounter in practice are Heterogeneous Information Networks (HINs), where it contains nodes of different classes connected by edges. …”
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    Final Year Project (FYP)
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    Attention graph neural network on heterogeneous information network by Wang, Kexin

    Published 2020
    “…There are two types of graphs: Homogeneous Information Network and Heterogenous Information Network (HIN). In this project, I am focus on researching the HIN which contains multipletypes of nodes and links in a graph. …”
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    Final Year Project (FYP)
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