2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Node Feature Kernels Increase Graph Convolutional Network Robustness
Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer +1
The robustness of the much-used Graph Convolutional Networks (GCNs) to perturbations of their input is becoming a topic of increasing importance. In this paper, the random GCN is i…
cs.LG2021★ 2 cited
Sparsifying the Update Step in Graph Neural Networks
Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis
Message-Passing Neural Networks (MPNNs), the most prominent Graph Neural Network (GNN) framework, celebrate much success in the analysis of graph-structured data. Concurrently, the…