Correlation clustering is a framework for partitioning the nodes of a graph according to pairwise similarity and dissimilarity labels on edges. Rather than fixing the number of clusters in advance, ...

Federated Learning (FL) provides a privacy-preserving framework for training graph neural networks (GNNs) in privacy-sensitive scenarios. However, traditional FL-GNN approaches often focus on ...