Self-weighted Adaptive Structure Learning for ASD Diagnosis via Multi-template Multi-center Representation

•We propose a PC-based sparse low-rank representation to construct FC networks.•We propose a self-weighted adaptive structure learning method.•Our method uses multi-template multi-center ensemble classification scheme.•Our method learns the modularity prior and local manifold structure.•Our method has achieved better classification performance.