Faculty of Computer Science

Samir Moustafa Mohamed, B.Sc. M.Sc.

Research Group Theory and Applications of Algorithms

Währinger Straße 29
1090 Wien
Room : 6.30

samir.moustafa(at)univie.ac.at

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Courses

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

doi.org/10.1007/978-3-032-04552-2_9

Accelerating Graph Neural Networks Using a Novel Computation-Friendly Matrix Compression Format. / Alves, Joao ; Moustafa, Samir ; Benkner, Siegfried et al.
IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2025. 2025.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1109/IPDPS64566.2025.00100

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

doi.org/10.1109/ICDE65448.2025.00301

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

doi.org/10.1609/aaai.v39i17.33979

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

doi.org/10.1145/3637528.3671890

On the Two Sides of Redundancy in Graph Neural Networks. / Bause, Franka (Corresponding author); Moustafa, Samir; Langguth, Johannes et al.
Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. ed. / Albert Bifet; Jesse Davis; Tomas Krilavičius; Meelis Kull; Eirini Ntoutsi; Indrė Žliobaitė. Vol. 14946 Springer Cham, 2024. p. 371-388 (Lecture Notes in Computer Science, Vol. 14946).

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1007/978-3-031-70365-2_22

Removing Redundancy in Graph Neural Networks. / Bause, Franka; Moustafa, Samir ; Gansterer, Wilfried et al.
2023. Paper presented at 20th International Workshop on Mining and Learning with Graphs, Torino, Italy.

Publications: Contribution to conference › Paper › Peer Reviewed