Understanding and Mitigating Under-Confidence in GNNs from the Final Layer

Jincheng Huang, Jie Xu, Xiaoshuang Shi +3

Graph Neural Networks (GNNs) have demonstrated remarkable effectiveness on graph-based tasks. However, their predictive confidence is often miscalibrated, typically exhibiting unde…