1–4 May 2023
Strandhotellet, Sandvig
Europe/Copenhagen timezone

Contribution List

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  1. 01/05/2023, 15:00

    Work with GraphNeT developers to set up the package in your regular working environment, to ensure that you are ready for the hackathons during the rest of the workshop.

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  2. Andreas Søgaard
    02/05/2023, 09:00
  3. Andreas Søgaard
    02/05/2023, 09:15

    Introduction to the GraphNet package: Vision, status, achievements, plans, roadmap

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  4. Raghavendra Selvan (DIKU)
    02/05/2023, 09:45

    Learning compact and continuous representation spaces for discrete and non-Euclidean objects such as graphs can be useful to study their properties and perform meaningful vector manipulations that can translate back into the data space. In this session, we will look into graph neural network based regularised auto-encoders that can learn embedding spaces, that can also be conditioned on...

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  5. Philipp Eller (TUM)
    02/05/2023, 11:00

    https://www.kaggle.com/competitions/icecube-neutrinos-in-deep-ice/overview

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  6. Mirco Hünnefeld
    02/05/2023, 11:30
  7. Kaare Endrup Iversen (Lund University)
    02/05/2023, 12:00
  8. Juan García Méndez (Universitat Politècnica de València)
    02/05/2023, 17:00
  9. Pascal Gutjahr
    02/05/2023, 17:05
  10. Karlijn Kruiswijk
    02/05/2023, 17:10
  11. Jonathan Mauro
    02/05/2023, 17:15
  12. Ludwig Neste (TU Dortmund University)
    02/05/2023, 17:20
  13. Rasmus Ørsøe
    03/05/2023, 09:00

    Overview of physics analyses and studies that have been carried out in the context of GraphNeT, their impact on physics, and possible future directions.

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  14. Matthias Fey (PyG and kumo.ai)
    03/05/2023, 09:45
  15. Lukas Hennig
    03/05/2023, 11:00
  16. Tomas Kontrimas
    03/05/2023, 11:35
  17. Troels Petersen
    03/05/2023, 12:10
  18. Andreas Søgaard
    04/05/2023, 10:00
  19. Andreas Søgaard
    04/05/2023, 11:00
  20. Andreas Søgaard
    04/05/2023, 12:10