Kaizhong Zheng

Towards a More Stable and General Subgraph Information Bottleneck

2023

Graph Neural Networks (GNNs) have been widely applied to graph-structured data. However, the lack of interpretability impedes its practical deployment especially in high-risk areas such as medical diagnosis. Recently, the Information Bottleneck (IB) principle has …