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Graph neural network

Technique

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About Graph neural network · from Wikipedia

Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs.

Summary from Wikipedia ↗, CC BY-SA 4.0.
  • Graph classification experiments Feb 2025
    Can a graph neural network tell whether two graphs have the same structure as well as an exact algorithm can, and how much faster?

As data

Everything on this page is read from triples in the knowledge graph. These are the 7 it states about Graph neural network, and 1 more its ontology implies; the console runs SPARQL over the whole graph, here in your browser.

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@prefix id: <https://ask.chaipat.cc/id/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix cj: <https://ask.chaipat.cc/ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix schema: <https://schema.org/> .

id:GNN
    a cj:Technique ;
    rdfs:label "Graph neural network" ;
    skos:altLabel "graph neural network" ,
                  "graph neural models" ,
                  "graph convolution" ,
                  "graph attention network" ;
    schema:sameAs <https://en.wikipedia.org/wiki/Graph_neural_network> .
Works 1
Graph classification experiments