- [Bioengineering 2023] Personalized Explanations for Early Diagnosis of Alzheimer's Disease Using Explainable Graph Neural Networks with Population Graphs [paper]
- [Arixv 23] Explainable Multilayer Graph Neural Network for Cancer Gene Prediction [paper]
- [Arxiv 23] CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis [paper]
- [MICCAI 22] Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis [paper]
- [MICCAI 22] Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer’s Disease [paper]
- [Bioinformatics 22] GNN-SubNet: disease subnetwork detection with explainable Graph Neural Networks [paper]
- [ISBI 22] Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer’s Disease Diagnosis [paper]
- [Medical Imaging 2022] Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence [paper]
- [Arxiv 22] BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck [paper]
- [KDD 2021] Counterfactual Graphs for Explainable Classification of Brain Networks [paper]
- [ICML workshop 21] BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis [paper]
- [Arxiv 21] IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction [paper]
- [Arxiv 23] Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity [paper]