Research Interests
Graph Neural Networks Explainability for fMRI
* Interpretable brain network models for disease prediction could be of great value for the advancement of neuroscience. Graph neural networks (GNNs) are a promising technique for modeling complex network data, but they suffer from low interpretability. Explainability of the model is essential, especially in decision-critical scenarios such as healthcare.