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Graph-to-Table Interfaces Control Relational Generalisation

Cagiano, Alessandro et al.
arXiv (All) · Papers
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machine-learning
Graph-to-table systems combine three design choices: an encoder that maps relational evidence to feature rows, a context constructor that selects labelled examples, and a tabular decoder. We investigate whether these components can be evaluated independently through matched comparisons that change o
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