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Network Science. Lecture15. Machine learning on graphs. Node classification.
Lecture11. Machine Learning on graphs. Node classification.
HKUST KDD Project: A Comparison of Graph Neural Network for Node Classification
Uncertainty for Active Learning on Graphs (ICML 2024)
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Graph Structure Learning with Interpretable Bayesian Neural Networks
Predictive Uncertainty Estimation via Prior Networks
What is a posterior predictive check and why is it useful
Graph Neural Networks Explained: A Clear Guide to GNN Basics & Models
Uncertainty estimation and Bayesian Neural Networks - Marcin Możejko
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Last Updated: August 24, 2026
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