Relation network (original) (raw)
A relation network (RN) is an artificial neural network component with a structure that can reason about relations among objects. An example category of such relations is spatial relations (above, below, left, right, in front of, behind). RNs can infer relations, they are data efficient, and they operate on a set of objects without regard to the objects' order.
| Property | Value |
|---|---|
| dbo:abstract | A relation network (RN) is an artificial neural network component with a structure that can reason about relations among objects. An example category of such relations is spatial relations (above, below, left, right, in front of, behind). RNs can infer relations, they are data efficient, and they operate on a set of objects without regard to the objects' order. (en) |
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| dbo:wikiPageWikiLink | dbr:Question_answering dbr:DeepMind dbr:Deep_learning dbr:CleVR dbr:Convolutional_neural_network dbr:Directed_graph dbr:Artificial_neural_network dbc:Artificial_neural_networks dbr:Long_short-term_memory dbr:Spatial_relation dbr:Multilayer_perceptron |
| dbp:wikiPageUsesTemplate | dbt:Reflist |
| dct:subject | dbc:Artificial_neural_networks |
| rdfs:comment | A relation network (RN) is an artificial neural network component with a structure that can reason about relations among objects. An example category of such relations is spatial relations (above, below, left, right, in front of, behind). RNs can infer relations, they are data efficient, and they operate on a set of objects without regard to the objects' order. (en) |
| rdfs:label | Relation network (en) |
| owl:sameAs | wikidata:Relation network https://global.dbpedia.org/id/4Xxdw |
| prov:wasDerivedFrom | wikipedia-en:Relation_network?oldid=948550513&ns=0 |
| foaf:isPrimaryTopicOf | wikipedia-en:Relation_network |
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