Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective

De Li, Xianxian Li, Zeming Gan +3

Graph neural networks based on message-passing mechanisms have achieved advanced results in graph classification tasks. However, their generalization performance degrades when nois…