Contrastive Graph Pooling for Explainable Classification of Brain Networks

The proposed ContrastPool method utilizes a contrastive dual-attention mechanism to extract group-specific information from brain networks, and applies a differentiable graph pooling approach to generate effective and domain-explainable features for disease classification.