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@InProceedings{dettmers2018convolutional,
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@Article{gao2021quatde,
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  title =   {Quatde: Dynamic quaternion embedding for knowledge graph completion},
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@Article{greff2016lstm,
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@Article{guu2015traversing,
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@InProceedings{ji2016knowledge,
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@InProceedings{jiang2017attentive,
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  year =         {2017},
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  year =         {2018},
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@Article{lu2017bidirectional,
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@InProceedings{mahdisoltani2014yago3,
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@InProceedings{nayyeri2020let,
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  title =        {Let the margin SlidE$\pm$for knowledge graph embeddings via a correntropy objective function},
  booktitle =    {2020 International Joint Conference on Neural Networks (IJCNN)},
  year =         {2020},
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  organization = {IEEE}
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@Article{neelakantan2015compositional,
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  title =   {Compositional vector space models for knowledge base completion},
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@Article{nguyen2020quatre,
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@Article{nickel2015review,
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@InProceedings{ruffinelli2019you,
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  title =     {You can teach an old dog new tricks! on training knowledge graph embeddings},
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@InProceedings{shang2019end,
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@Article{sun2019rotate,
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@Article{wang2019coke,
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@Article{wang2021atrous,
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@Article{yin2018recurrent,
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@Article{zhang2019quaternion,
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@InProceedings{zhang2020autosf,
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  booktitle =    {2020 IEEE 36th International Conference on Data Engineering (ICDE)},
  year =         {2020},
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  organization = {IEEE}
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@Article{zhang2021autosf+,
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@Article{zhang2021beyond,
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