Assoz. Prof. Dr. Nils M. Kriege
Head of the work group Machine Learning with Graphs
Research Group Data Mining and Machine Learning
Professors
University of Vienna
Währinger Straße 29,
1090 Vienna,
Austria
Room 6.38
Biography
Professional Experience
- since 2023: Associate Professor, Faculty of Computer Science, University of Vienna, Austria
- 2020–2023: Assistant Professor, Faculty of Computer Science, University of Vienna, Austria
- 2019/2020: Interim Professor (W3), Chair for Algorithm Engineering, Department of Computer Science, TU Dortmund, Germany
- 2015–2020: Postdoctoral Researcher, TU Dortmund, Germany
- 2015, 2016, 2018: Visiting Researcher, Computer Vision and Pattern Recognition Group, University of York, UK (four months in total)
- 2010–2015: Research Associate, TU Dortmund, Germany
Academic Qualifications
- 2015: Doctorate in Computer Science, TU Dortmund
- 2009: Diploma in Computer Science, TU Dortmund
Individual Grants and Fellowships
- 2019: Vienna Research Groups for Young Investigators, project “Algorithmic Data Science for Computational Drug Discovery”, 1,466k € funding for an independent research group
- 2017: Member of the Global Young Faculty V, Stiftung Mercator and the Mercator Research Center Ruhr
Professional Services
- PC & review activities: NeurIPS, ICML, IJCAI, AAAI, ICLR, ICDM
- Journal reviews: Transactions on Pattern Analysis and Machine Intelligence, Machine Learning, Data Mining and Knowledge Discovery, Journal of Experimental Algorithmics
Recent Publications
2024
Approximating the Graph Edit Distance with Compact Neighborhood Representations
Franka Bause, Christian Permann, Nils Morten Kriege
Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. , Springer Cham, Vol. 14945, P. 300-318, (Lecture Notes in Computer Science)
Attacking Graph Neural Networks with Bit Flips
Lorenz Kummer, Samir Moustafa, Sebastian Schrittwieser, Wilfried Gansterer, Nils M. Kriege
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery (ACM), P. 1428-1439, (KDD 2024)
On the Two Sides of Redundancy in Graph Neural Networks
Franka Bause, Samir Moustafa, Johannes Langguth, Wilfried Gansterer, Nils Morten Kriege
Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024, Springer Cham, Vol. 14946, P. 371-388, (Lecture Notes in Computer Science)
2023
A Higher-Order Temporal H-Index for Evolving Networks
Lutz Oettershagen, Nils Morten Kriege, Petra Mutzel
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery (ACM), P. 1770-1782 , (ACM Conferences)
A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks
Lutz Oettershagen, Nils Morten Kriege, Claude Jordan, Petra Mutzel
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), P. 19-27
Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond
Sepideh Sadegh, James Skelton, Elisa Anastasi , Anil Wipat, Anna Möller, David B. Blumenthal, Nils Morten Kriege, Jaanika Kronberg, Toomas Haller, Tim Kacprowski, Jan Baumbach
Nature Communications, Vol. 14
Weisfeiler and Leman go Machine Learning: The Story so far
Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils Morten Kriege, Martin Grohe, Matthias Fey, Karsten Borgwardt
Journal of Machine Learning Research, Vol. 24, P. 1-59