SAGL learns subspace-preserving sparse attention graphs from heterogeneous multiview data via bilinear attention factorization, dynamic sparsity gating, and α-entmax projection.
Adaptive anchor- guided representation learning for efficient multi-view subspace clustering
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Learning Subspace-Preserving Sparse Attention Graphs from Heterogeneous Multiview Data
SAGL learns subspace-preserving sparse attention graphs from heterogeneous multiview data via bilinear attention factorization, dynamic sparsity gating, and α-entmax projection.