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@ARTICLE{Frantzen:1012595,
      author       = {Frantzen, Florian and Schaub, Michael Thomas},
      title        = {{HLSAD}: {H}odge {L}aplacian-based {S}implicial {A}nomaly
                      {D}etection},
      reportid     = {RWTH-2025-05054},
      pages        = {11 Seiten},
      year         = {2025},
      note         = {Person Schaub, Michael Thomas auch Corresponding author},
      keywords     = {FOS: Computer and information sciences (Other) / Machine
                      Learning (cs.LG) (Other) / Social and Information Networks
                      (cs.SI) (Other)},
      cin          = {125230 / 120000},
      cid          = {$I:(DE-82)125230_20200623$ / $I:(DE-82)120000_20140620$},
      pnm          = {HIGH-HOPeS - Higher-Order Hodge Laplacians for Processing
                      of multi-way Signals (101039827)},
      pid          = {G:(EU-Grant)101039827},
      typ          = {PUB:(DE-HGF)25},
      eprint       = {2505.24534},
      howpublished = {arXiv:2505.24534},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2505.24534;\%\%$},
      doi          = {10.48550/arXiv.2505.24534},
      url          = {https://publications.rwth-aachen.de/record/1012595},
}