Assoz. Prof. Dipl.-Inf. Dr. Nils Morten Kriege
1090 Wien
Room : 6.38
Courses
Summer term 2026
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052813 VU Scientific Data Management
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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053631 LP Data Analysis Project
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500501 SE Doctoral Research Seminar - Data and Knowledge
Winter term 2025
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052311 VU Data Mining
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052322 VU Graph Learning
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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053613 VU Introduction to Machine Learning
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500501 SE Doctoral Research Seminar - Data and Knowledge
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960028 VU Basics of IT and Data Science
Summer term 2025
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052114 VU Distributed and Parallel Algorithms
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052813 VU Scientific Data Management
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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053640 SE Master's Seminar
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500501 SE Doctoral Research Seminar - Data and Knowledge
Publications
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win. / Kummer, Lorenz; Moustafa, Samir; Ehrlich, Anatol et al.
Proceedings of the 42nd International Conference on Machine Learning. Vol. 267 PMLR, 2025. p. 31991-32010 (Proceedings of Machine Learning Research (PMLR), Vol. 267).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Visualization and Analysis of the Loss Landscape in Graph Neural Networks. / Moustafa, Samir (Corresponding author); Kummer, Lorenz; Fetzel, Simon et al.
Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions: 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part V. Springer Cham, 2025. p. 69-81 (Lecture Notes in Computer Science).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Efficient Mixed Precision Quantization in Graph Neural Networks. / Moustafa, Samir; Kriege, Nils M.; Gansterer, Wilfried (Corresponding author).
41st IEEE International Conference on Data Engineering. 2025. p. 4038-4052.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
On the Relationship Between Robustness and Expressivity of Graph Neural Networks. / Kummer, Lorenz; Gansterer, Wilfried; Kriege, Nils Morten.
Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. Vol. 258 PMLR, 2025. p. 1243-1251 (Proceedings of Machine Learning Research (PMLR)).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. / Kummer, Lorenz; Moustafa, Samir; Gansterer, Wilfried et al.
Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence. AAAI, 2025. p. 17990-17998 (Proceedings of the ... National Conference on Artificial Intelligence; No. 17, Vol. 39).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Maximally Expressive GNNs for Outerplanar Graphs. / Bause, Franka; Jogl, Fabian; Indri, Patrick et al.
In: Transactions on Machine Learning Research (TMLR), 03.01.2025.
Publications: Contribution to journal › Article › Peer Reviewed
Chemical Similarity and Substructure Searches. / Kriege, Nils Morten; Seidel, Thomas; Humbeck, Lina et al.
Encyclopedia of Bioinformatics and Computational Biology. Vol. 3 2. ed. Elsevier, 2025. p. 707-719.
Publications: Contribution to book › Chapter › Peer Reviewed
sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-cell Data. / Atria, Carolina Elisabeth; Cai, Yitao; Weber, Pascal et al.
2025. Paper presented at International Conference on Data Mining, Washington DC, United States.
Publications: Contribution to conference › Paper › Peer Reviewed
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. / Kummer, Lorenz; Moustafa, Samir; Schrittwieser, Sebastian et al.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. New York: Association for Computing Machinery (ACM), 2024. p. 1428-1439.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Approximating the Graph Edit Distance with Compact Neighborhood Representations. / Bause, Franka (Corresponding author); Permann, Christian; Kriege, Nils Morten.
Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. . ed. / Albert Bifet; Jesse Davis; Tomas Krilavicius; Meelis Kull; Eirini Ntoutsi; Indre Žliobaite. Cham: Springer Cham, 2024. p. 300-318 (Lecture Notes in Computer Science, Vol. 14945).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Projects
StruDL: Structured Data Learning with General Similarities
Kriege, N. M. (Project Lead), Gärtner, T. (Co-Lead) & Flamm, C. (Co-Lead)
1/05/23 → 31/10/27
Project: Research funding
Geometric deep learning based recommender engine with implicit feedback data in e‐commerce domain
Kriege, N. M. (Project Lead)
1/02/22 → 30/06/24
Project: Research cooperation
Algorithmic Data Science for Computational Drug Discovery
Kriege, N. M. (Project Lead) & Gansterer, W. (Co-Lead)
1/05/20 → 30/11/28
Project: Research funding
Talks
Expressivity in Graph Learning: From Sets to Graphs
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Activity Cliffs Go Smooth: Graph Siamese Neural Networks for Molecular Activity Prediction
Mqawass, G. (Speaker), Hirte, S. (Speaker), Kirchmair, J. (Speaker) & Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Graph Learning: Embeddings, Matchings and Expressivity
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Expressivity in Graph Learning: On Walks and the Weisfeiler-Leman Algorithm
Kriege, N. M. (Keynote speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Learning with Structured Data by Matching and Embedding Graphs
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Algorithms for Mining and Learning with Graphs
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Mining and Learning with (Molecular) Graphs
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
TUDataset: A collection of benchmark datasets for learning with graphs
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Matching and Embedding Graphs
Kriege, N. M. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
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