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

Computer Science Directorate of Doctoral Studies

Vice-Director of Studies

Währinger Straße 29
1090 Wien

nils.kriege(at)univie.ac.at

Courses

Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction. / Azizi, Niloofar; Kriege, Nils M.; Harvey, Nicholas et al.
In: Proceedings of the ... National Conference on Artificial Intelligence, Vol. 40, No. 24, 14.03.2026, p. 19640-19648.

Publications: Contribution to journal › Meeting abstract/Conference paper › Peer Reviewed

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

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

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