2 papers
cs.DS2024
Accelerating Graph Neural Networks with a Novel Matrix Compression Format
João N. F. Alves, Samir Moustafa, Siegfried Benkner +3
The inference and training stages of Graph Neural Networks (GNNs) are often dominated by the time required to compute a long sequence of matrix multiplications between the sparse g…
cs.LG2024
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
Lorenz Kummer, Samir Moustafa, Nils N. Kriege +1
Prior attacks on graph neural networks have mostly focused on graph poisoning and evasion, neglecting the network's weights and biases. Traditional weight-based fault injection att…