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2024 ICML ICML 2024

Federated Self-Explaining GNNs with Anti-shortcut Augmentations

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

Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Application Areas > Domain Adaptation Deep Learning > Architectures > Graph Neural Networks

Keywords

federated learning counterfactual augmentation anti-shortcut augmentations graph rationalization self-explaining gnns shortcut problem
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