Concept information
Término preferido
graph attention network
Definición
- A neural network architecture for graph-structured data that uses masked self-attentional layers to overcome the limitations of prior approaches based on graph convolutions and their approximations. (Based on Waikhom and Patgiri, Principles of Big Graph: In-depth Insight, in Advances in Computers, 2023)
Concepto genérico
Etiquetas alternativas
- GAT
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/8LP-ZGV1ZTXP-L
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