The Evidential Probing Network (EPN) is a plug-and-play framework for uncertainty quantification in Graph Neural Networks that uses a lightweight Multi-Layer-Perceptron (MLP) head to extract evidence from learned representations, allowing integration with pre-trained models without retraining.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (1)

• graph neural networks concept