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T3R achieves a remarkable 9.37% relative improvement in classification tasks by enabling deeper adaptation of GNNs at test time, even with unlabeled data.
Tabular foundation models can learn association rules out-of-the-box, rivaling traditional methods while sidestepping their scalability and data limitations.
