wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction

Marco Grassia, Giuseppe Mangioni

Graph Neural Networks (GNNs) have been widely used to learn representations on graphs and tackle many real-world problems from a wide range of domains. In this paper we propose wsG…