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2025 ICML ICML 2025

Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne, Stephan Günnemann

Topics

Machine Learning > Optimization & Theory > Bayesian Inference Deep Learning > Architectures > Graph Neural Networks

Keywords

information theory epistemic uncertainty message passing neural network heterophilic graph density estimator joint node embedding space
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