Dailin Wen

BrainNetGFM: A Graph-Based Foundation Model for Brain Network Construction Integrating Individualized Geometry and Joint Self-Supervised Learning

This work presents BrainNetGFM, a novel graph-based foundation model for brain network construction that integrates individualized geometry with joint self-supervised learning, pre-trained on a massive dataset of 44,476 samples and proposes a joint self-supervised learning framework that synergizes generative and contr...