Graph neural network
id:
graph-neural-network-212-2318797
title:
Graph neural network
text:
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. A convolutional neural network layer, in the context of computer vision, can be seen as a GNN applied to graphs whose nodes are pixels and only adjacent pixels are connected by edges in the graph. A
brand slug:
wiki
category slug:
encyclopedia
description:
Class of artificial neural networks
original url:
https://en.wikipedia.org/wiki/Graph_neural_network
date created:
2021-06-28T05:22:01Z
date modified:
2024-09-12T10:32:59Z
main entity:
{"identifier":"Q107750691","url":"https://www.wikidata.org/entity/Q107750691"}
image:
fields total:
13
integrity:
15