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DualGSL: Prior-Guided Graph Structure Learning with Node-Adaptive Prediction Fusion
Graph structure learning (GSL) adapts propagation graphs to prediction tasks, but the relative predictive value of feature-derived priors and learned relations can vary across nodes. We propose DualGSL, a prior-guided framework for transductive node classification that learns node-specific weights f
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