Uncertainty Quantification on Graph Learning: A Survey

no code implementations • 23 Apr 2024 • Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip Yu

Graphical models, including Graph Neural Networks (GNNs) and Probabilistic Graphical Models (PGMs), have demonstrated their exceptional capabilities across numerous fields.

Decision Making Graph Learning +1

Robust Ranking Explanations

no code implementations • 8 Jul 2023 • Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie

Robust explanations of machine learning models are critical to establish human trust in the models.

Provable Robust Saliency-based Explanations

no code implementations • 28 Dec 2022 • Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie

Robust explanations of machine learning models are critical to establishing human trust in the models.