ProGMLP trains a sequence of MLPs with progressive distillation and mixup, enabling flexible accuracy-speed trade-offs for graph node classification in one framework.
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ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
ProGMLP trains a sequence of MLPs with progressive distillation and mixup, enabling flexible accuracy-speed trade-offs for graph node classification in one framework.