Robust spatio-temporal graph neural networks with sparse structure learning

Yupei Zhang

doi:10.1016/j.patcog.2025.112383

Robust spatio-temporal graph neural networks with sparse structure learning

2025-08-31

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DOI：10.1016/j.patcog.2025.112383

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Abstract

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• Proposed a robust spatio-temporal GNN model dubbed RostGNN. • Introduced both sparsity and manifold regularizations into STGNNs. • Adopted iterative hard thresholding to achieve sparsity. • Evaluated on brain disease recognition and provided potential findings.

Robust spatio-temporal graph neural networks with sparse structure learning

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