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Graph Neural Networks Do Not Always Oversmooth

; ; ;

Konferenz/Event:38. Conference on Neural Information Processing Systems , Vancouver , Canada , NeurIPS 2024 , 2024-12-09 - 2024-12-15

Umfang19 Seiten

Online
DOI: 10.48550/arXiv.2406.02269

DOI: 10.18154/RWTH-2025-02545
URL: http://publications.rwth-aachen.de/record/1006567/files/1006567.pdf

Einrichtungen

  1. Juniorprofessur für Computational Network Science (125230)
  2. Fachgruppe Physik (130000)
  3. Fachgruppe Informatik (120000)
  4. Lehrstuhl für Theoretische Systemneurobiologie (FZ Jülich) (163110)
  5. Lehr- und Forschungsgebiet Theorie neuronaler Netzwerke (FZ Jülich) (136930 ; 136920)
  6. Fachgruppe Biologie (160000)

Projekte

  1. HIGH-HOPeS - Higher-Order Hodge Laplacians for Processing of multi-way Signals (101039827) (101039827)
  2. SFB 1481 A07 - Signalverarbeitung auf Graphen und Komplexen (A07) (504266509) (504266509)
  3. DFG project G:(GEPRIS)442047500 - SFB 1481: Sparsity und singuläre Strukturen (442047500) (442047500)

Inhaltliche Beschreibung (Schlagwörter)
Disordered Systems and Neural Networks (cond-mat.dis-nn) (Genormte SW) ; FOS: Computer and information sciences (Genormte SW) ; FOS: Physical sciences (Genormte SW) ; Machine Learning (cs.LG) (Genormte SW) ; Machine Learning (stat.ML) (Genormte SW)

OpenAccess:
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External link:
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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2406.02269

Interne Identnummern
RWTH-2025-02545
Datensatz-ID: 1006567

Beteiligte Länder
Germany

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Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Physics
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Biology
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136930
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125230

 Record created 2025-03-12, last modified 2025-04-29


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