Trust Evaluation

Trust evaluation focuses on assessing the reliability of relationships between entities in various systems, aiming to improve decision-making in the face of uncertainty and potential malicious actors. Recent research heavily utilizes graph neural networks (GNNs), often enhanced with mechanisms to handle dynamic trust relationships, address adversarial attacks, and provide explainable results, incorporating knowledge graphs to improve the understanding of node characteristics. These advancements have significant implications for cybersecurity, social network analysis, and recommender systems, enabling more robust and reliable systems by accurately modeling and predicting trust.