Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model

no code implementations • 14 Jul 2022 • Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhang

Here, we propose an interpretable hierarchical signed graph representation learning model to extract graph-level representations from brain functional networks, which can be used for different prediction tasks.

Contrastive Learning Graph Learning +1

Functional2Structural: Cross-Modality Brain Networks Representation Learning

no code implementations • 6 May 2022 • Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex Leow, Paul Thompson, Heng Huang, Liang Zhan

Since brain networks derived from functional and structural MRI describe the brain topology from different perspectives, exploring a representation that combines these cross-modality brain networks is non-trivial.

Disease Prediction Graph Learning +2