Financial Network

Financial networks analyze the interconnectedness of financial entities, aiming to understand and predict systemic risk, fraud, and market behavior. Current research heavily utilizes graph neural networks (GNNs), including temporal extensions (TGNs) to capture dynamic interactions, and focuses on developing models that improve anomaly detection, credit assessment, and portfolio optimization strategies. These advancements are significant for enhancing risk management, improving fraud detection capabilities, and optimizing investment strategies across various financial sectors.