Knowledge graph embedding based on embedding permutation and high-frequency feature fusion for link prediction. Yu, Q. & Vargas, D. V. Neurocomputing, 633:129743, 2025.
Knowledge graph embedding based on embedding permutation and high-frequency feature fusion for link prediction [link]Paper  doi  bibtex   2 downloads  
@article{DBLP:journals/ijon/YuV25,
  author       = {Qien Yu and
                  Danilo Vasconcellos Vargas},
  title        = {Knowledge graph embedding based on embedding permutation and high-frequency
                  feature fusion for link prediction},
  journal      = {Neurocomputing},
  volume       = {633},
  pages        = {129743},
  year         = {2025},
  url          = {https://doi.org/10.1016/j.neucom.2025.129743},
  doi          = {10.1016/J.NEUCOM.2025.129743},
  timestamp    = {Mon, 10 Mar 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/ijon/YuV25.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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