Bridging max graph neural networks and datalog with negation

Bridging max graph neural networks and datalog with negation

We consider a general class of data transformations based on Graph Neural Networks (GNNs), which can be used for a wide variety of tasks. An important question in this setting is characterising the expressive power of these transformations in terms of a suitable logic-based language. From a practica...

Полное описание

Библиографические подробности
Главные авторы:	Tena Cucala, D, Cuenca Grau, B
Формат:	Conference item
Язык:	English
Опубликовано:	IJCAI Organization 2024

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