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

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. Band 267 PMLR, 2025. S. 31991-32010 (Proceedings of Machine Learning Research (PMLR), Band 267).

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Visualization and Analysis of the Loss Landscape in Graph Neural Networks. / Moustafa, Samir (Korresp. Autor*in); 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. S. 69-81 (Lecture Notes in Computer Science).

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

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.

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Efficient Mixed Precision Quantization in Graph Neural Networks. / Moustafa, Samir; Kriege, Nils M.; Gansterer, Wilfried (Korresp. Autor*in).
41st IEEE International Conference on Data Engineering. 2025. S. 4038-4052.

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › 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. S. 17990-17998 (Proceedings of the ... National Conference on Artificial Intelligence; Nr. 17, Band 39).

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › 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. S. 1428-1439.

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

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

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed