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Graph Neural Networks
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graph-neural-networks-54600fa4·1 events·first seen 27d agoAliases: Graph Neural Networks
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Graph Structure LearningGraph Neural Network EncoderSpiking Neural NetworksGraph ClassificationGraph TransformerE(3) equivariant graph neural networkGraph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous GraphsFeedforward Neural NetworksGenerative Adversarial NetworksRecurrent Neural NetworkE(3)-equivariant GNNneural network image classifiers
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FROG: Full-Resolution Graph Structure Learning for Relational Deep Learning
This paper introduces FROG, a framework that treats relational database schema graph construction as a learnable optimization problem rather than a fixed design choice. The method formulates table role modeling as a learnable component, allowing tables to dynamically serve as nodes or edges in message passing, with functional dependency constraints ensuring semantic consistency. Experiments show FROG outperforms existing relational deep learning approaches and provides insights into how table roles affect downstream prediction tasks.