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...
| Hlavní autoři: | , |
|---|---|
| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
IJCAI Organization
2024
|