Bridging the Topological Divide: Dual-Branch Graph Distillation with Semantic Priors for Robust Cold-Start Recommendation
DualGCN is proposed, an innovative Dual-Branch Graph Knowledge Distillation Framework that significantly outperforms state-of-the-art baselines in strict cold-start scenarios while comprehensively preserving recommendation accuracy for highly active items.
Yuan-Feng Qiu
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