Non-Redundant Graph Neural Networks with Improved Expressiveness. - Franka Bause; Samir Moustafa; Johannes Langguth; Wilfried N. Gansterer; Nils M. Kriege (CoRR, 2023)

Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent. - Lorenz Kummer; Samir Moustafa; Nils M. Kriege; Wilfried N. Gansterer (CoRR, 2023)

Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. - Lorenz Kummer; Samir Moustafa; Sebastian Schrittwieser; Wilfried N. Gansterer; Nils M. Kriege (KDD, 2024)

On the Two Sides of Redundancy in Graph Neural Networks. - Franka Bause; Samir Moustafa; Johannes Langguth; Wilfried N. Gansterer; Nils M. Kriege (ECML/PKDD (6), 2024)

Accelerating Graph Neural Networks with a Novel Matrix Compression Format. - João Nuno Ferreira Alves; Samir Moustafa; Siegfried Benkner; Alexandre P. Francisco; Wilfried N. Gansterer; Luís M. S. Russo (CoRR, 2024)

Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. - Lorenz Kummer; Samir Moustafa; Wilfried N. Gansterer; Nils Morten Kriege (AAAI, 2025)

Accelerating Graph Neural Networks Using a Novel Computation-Friendly Matrix Compression Format. - João Nuno Ferreira Alves; Samir Moustafa; Siegfried Benkner; Alexandre P. Francisco; Wilfried N. Gansterer; Luís M. S. Russo (IPDPS, 2025)

Efficient Mixed Precision Quantization in Graph Neural Networks. - Samir Moustafa; Nils M. Kriege; Wilfried N. Gansterer (CoRR, 2025)

Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win. - Lorenz Kummer; Samir Moustafa; Anatol Ehrlich; Franka Bause; Nikolaus Süss; Wilfried N. Gansterer; Nils M. Kriege (CoRR, 2025)