ARBEITSGRUPPE

DATENBANKEN UND

SOFTWARE ENGINEERING

Vita

• seit 2023: Wissenschaftlicher Mitarbeiter (Otto-von-Guericke-Universität Magdeburg)
• 2021-2023: Wissenschaftlicher Mitarbeiter (Otto-von-Guericke-Universität Magdeburg) und Softwareentwickler (METOP GmbH)
• 2019-2021: M.Sc. Biosystemtechnik (Otto-von-Guericke-Universität Magdeburg)
• 2015-2019: B.Sc. Biosystemtechnik (Otto-von-Guericke-Universität Magdeburg)

2024

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• Rahul Mondal, Evelina Ignatova, Daniel Walke, David Broneske, Gunter Saake, and Robert Heyer. Clustering graph data: the roadmap to spectral techniques. Discover Artificial Intelligence, January 2024. (PDF)
   

2023

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• Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake, and Robert Heyer. Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets. BMC Medical Informatics and Decision Making, 2023. (PDF)
   
• Daniel Walke, Daniel Micheel, Kay Schallert, Thilo Muth, David Broneske, Gunter Saake, and Robert Heyer. The importance of graph databases and graph learning for clinical applications. Database: The Journal of Biological Databases and Curation, 2023. Accepted review about graph databases and graph machine learning. (PDF)
   

2021

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• Daniel Walke, Kay Schallert, Prasanna Ramesh, Dirk Benndorf, Emanuel Lange, Udo Reichl, and Robert Heyer. MPA_Pathway_Tool: User-Friendly, Automatic Assignment of Microbial Community Data on Metabolic Pathways. International Journal of Molecular Sciences, 22(20, ARTICLE-NUMBER = 10992), 2021.
   

misc

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• Daniel Walke, Daniel Steinbach, Sebastian Gibb, Thorsten Kaiser, Paul Ahrens, Gunter Saake, David Broneske, and Robert Heyer. Edges are all you need: Potential of Medical Time Series Analysis with Graph Neural Networks.. Currently only a pre-print.
   

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