DIB-OD isolates a stable invariant core in heterogeneous graph representations via orthogonal subspace decomposition, IB teacher-student distillation, HSIC independence, and confidence-gated regularization for improved cross-domain generalization.
On representation knowledge distillation for graph neural networks.IEEE transactions on neural networks and learning systems, 35(4):4656–4667
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DIB-OD: Preserving the Invariant Core for Robust Heterogeneous Graph Adaptation via Decoupled Information Bottleneck and Online Distillation
DIB-OD isolates a stable invariant core in heterogeneous graph representations via orthogonal subspace decomposition, IB teacher-student distillation, HSIC independence, and confidence-gated regularization for improved cross-domain generalization.