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What is Trustworthy Graph Neural Networks Overview about?

This document surveys the development of trustworthy Graph Neural Networks (GNNs), emphasizing the need for robustness, explainability, privacy, fairness, accountability, and environmental well-being. It outlines various methods and trends in building GNNs that are reliable and ethically responsible, particularly in sensitive applications like credit scoring and drug discovery. The authors propose a roadmap for enhancing GNN trustworthiness, highlighting the importance of addressing potential biases and vul

Author

zyhdasb

Language

EN