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Found 2 papers, 1 papers with code
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
In this survey, we dive into Tabular Data Learning (TDL) using Graph Neural Networks (GNNs), a domain where deep learning-based approaches have increasingly shown superior performance in both classification and regression tasks compared to traditional methods.
TabGSL: Graph Structure Learning for Tabular Data Prediction
This work presents a novel approach to tabular data prediction leveraging graph structure learning and graph neural networks.
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