| Display title | Graph neural network |
| Default sort key | Graph neural network |
| Page length (in bytes) | 34,849 |
| Namespace ID | 0 |
| Page ID | 331015 |
| Page content language | en - English |
| Page content model | wikitext |
| Indexing by robots | Allowed |
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| Counted as a content page | Yes |
| Page image |  |
| HandWiki item ID | None |
| Edit | Allow all users (infinite) |
| Move | Allow all users (infinite) |
| Page creator | imported>Rjetedi |
| Date of page creation | 22:16, 8 February 2024 |
| Latest editor | imported>Rjetedi |
| Date of latest edit | 22:16, 8 February 2024 |
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Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | A graph neural network (GNN) belongs to a class of artificial neural networks for processing data that can be represented as graphs.
In the more general subject of "geometric deep learning", certain existing neural network architectures can be interpreted as GNNs operating on suitably defined graphs... |
