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Andreas Søgaard02/05/2023, 09:00
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Andreas Søgaard02/05/2023, 09:15
Introduction to the GraphNet package: Vision, status, achievements, plans, roadmap
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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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Philipp Eller (TUM)02/05/2023, 11:00
https://www.kaggle.com/competitions/icecube-neutrinos-in-deep-ice/overview
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Mirco Hünnefeld02/05/2023, 11:30
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Kaare Endrup Iversen (Lund University)02/05/2023, 12:00
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Juan García Méndez (Universitat Politècnica de València)02/05/2023, 17:00
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Pascal Gutjahr02/05/2023, 17:05
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Karlijn Kruiswijk02/05/2023, 17:10
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Jonathan Mauro02/05/2023, 17:15
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Ludwig Neste (TU Dortmund University)02/05/2023, 17:20
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Rasmus Ørsøe03/05/2023, 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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Matthias Fey (PyG and kumo.ai)03/05/2023, 09:45
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Lukas Hennig03/05/2023, 11:00
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Tomas Kontrimas03/05/2023, 11:35
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Troels Petersen03/05/2023, 12:10
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Andreas Søgaard04/05/2023, 10:00
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Andreas Søgaard04/05/2023, 11:00
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Andreas Søgaard04/05/2023, 12:10
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