Ingo Scholtes
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Professor of Machine Learning for Complex Networks
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About
Ingo Scholtes is a Professor of Machine Learning for Complex Networks at the University of Würzburg, Germany. His research focuses on the modeling and analysis of complex networks, particularly through the lenses of machine learning and temporal dynamics. Recent publications include work on contact graph generation, multibody interaction inference, and causality-aware neural networks for dynamic graphs. His contributions extend to link prediction and understanding the controllability of temporal networks.
Recent Grants
Grant: Close
Modeling Developmental Trajectories with Intensive Longitudinal Data from Large-Scale Formative Assessments
Open Date: 2021-03-01
Close Date: 2024-02-29
Grant: Close
Next-Generation Network Analytics for Time Series Data
Open Date: 2018-08-01
Close Date: 2024-07-31
Grant: Close
Payoffs of local and global network structures: reproductive career paths in wild house mice
Open Date: 2012-05-01
Close Date: 2016-05-31
Articles (7)
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2025
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2023
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2023
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2022
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2022
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2022
Year:
2021
Collaborators (2)
Frank Schweitzer
ETH Zurich
Piet Van Mieghem
Professor
Delft University of Technology
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