Assoz. Prof. Dipl.-Inf. Dr. Nils Morten Kriege

Kummer, L, Moustafa, S, Ehrlich, A, Bause, F, Suess, N, Gansterer, W & Kriege, NM 2025, Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win. in Proceedings of the 42nd International Conference on Machine Learning. vol. 267, PMLR, Proceedings of Machine Learning Research (PMLR), vol. 267, pp. 31991-32010, Forty-Second International Conference on Machine Learning, Vancouver, Canada, 13/07/25. <https://proceedings.mlr.press/v267/kummer25a.html>

Moustafa, S, Kummer, L, Fetzel, S, Kriege, NM & Gansterer, WN 2025, Visualization and Analysis of the Loss Landscape in Graph Neural Networks. in 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, Lecture Notes in Computer Science, pp. 69-81. https://doi.org/10.1007/978-3-032-04552-2_9

Moustafa, S, Kriege, NM & Gansterer, W 2025, Efficient Mixed Precision Quantization in Graph Neural Networks. in 41st IEEE International Conference on Data Engineering. pp. 4038-4052. https://doi.org/10.1109/ICDE65448.2025.00301

Kummer, L, Gansterer, W & Kriege, NM 2025, On the Relationship Between Robustness and Expressivity of Graph Neural Networks. in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. vol. 258, PMLR, Proceedings of Machine Learning Research (PMLR), pp. 1243-1251, The 28th International Conference on Artificial Intelligence and Statistics, Mai Khao, Thailand, 3/05/25. <https://proceedings.mlr.press/v258/kummer25a.html>

Kummer, L, Moustafa, S, Gansterer, W & Kriege, NM 2025, Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. in Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence. AAAI, Proceedings of the ... National Conference on Artificial Intelligence, no. 17, vol. 39, pp. 17990-17998, The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, Pennsylvania, United States, 25/02/25. https://doi.org/10.1609/aaai.v39i17.33979

Kriege, NM, Seidel, T, Humbeck, L & Lessel, U 2025, Chemical Similarity and Substructure Searches. in Encyclopedia of Bioinformatics and Computational Biology. 2 edn, vol. 3, Elsevier, pp. 707-719. https://doi.org/10.1016/B978-0-323-95502-7.00048-8

Kummer, L, Moustafa, S, Schrittwieser, S, Gansterer, W & Kriege, NM 2024, Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. in Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. Association for Computing Machinery (ACM), New York, pp. 1428-1439, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25/08/24. https://doi.org/10.1145/3637528.3671890

Bause, F, Permann, C & Kriege, NM 2024, Approximating the Graph Edit Distance with Compact Neighborhood Representations. in A Bifet, J Davis, T Krilavicius, M Kull, E Ntoutsi & I Žliobaite (eds), Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. . Springer Cham, Cham, Lecture Notes in Computer Science, vol. 14945, pp. 300-318, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius, Lithuania, 9/09/24. https://doi.org/10.1007/978-3-031-70362-1_18

Bause, F, Moustafa, S, Langguth, J, Gansterer, W & Kriege, NM 2024, On the Two Sides of Redundancy in Graph Neural Networks. in A Bifet, J Davis, T Krilavičius, M Kull, E Ntoutsi & I Žliobaitė (eds), Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. vol. 14946, Springer Cham, Lecture Notes in Computer Science, vol. 14946, pp. 371-388, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius, Lithuania, 9/09/24. https://doi.org/10.1007/978-3-031-70365-2_22

Oettershagen, L, Kriege, NM & Mutzel, P 2023, A Higher-Order Temporal H-Index for Evolving Networks. in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), New York, ACM Conferences, vol. 2023, pp. 1770-1782 , 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, United States, 6/08/23. https://doi.org/10.1145/3580305.3599242

Oettershagen, L, Kriege, NM, Jordan, C & Mutzel, P 2023, A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks. in Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). pp. 19-27, SIAM International Conference on Data Mining (SDM23), Minneapolis, United States, 27/04/23. https://doi.org/10.1137/1.9781611977653.ch3