Talk by Ivan Ojeda-Ruiz on Friday 4/5
Title: An Overview of Graph Neural Network Propagation Modules Abstract: Graph Neural Networks (GNNs) offer powerful methods to analyze the complex relationships inherent in graph-structured data. Propagation modules sit at the core of GNNs, driving the process of learning representations by aggregating information across nodes. This talk explores the landscape of GNN propagation modules. We’ll…