2025
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
ICLR 2025spotlight
Graph Neural Networks (GNNs) deliver strong classification results but often suffer from poor calibration performance, leading to overconfidence or underconfidence. This is particularly problematic in high-stakes applications where accurate uncertainty estimates are essential. Existing post-hoc meth…