GraphSAGE

GPTKB entity

Statements (30)
Predicate Object
gptkbp:instanceOf graph neural network algorithm
gptkbp:aggregationMethods gptkb:GCN
gptkb:LSTM
mean
pooling
gptkbp:application graph classification
link prediction
node classification
gptkbp:citation highly cited
gptkbp:codeAvailable https://github.com/williamleif/GraphSAGE
gptkbp:features inductive learning capability
learns aggregation functions
scalable to large graphs
gptkbp:fullName Graph Sample and AggregatE
https://www.w3.org/2000/01/rdf-schema#label GraphSAGE
gptkbp:input graph data
gptkbp:introduced gptkb:Rex_Ying
gptkb:William_L._Hamilton
gptkb:Jure_Leskovec
gptkbp:introducedIn 2017
gptkbp:notablePublication gptkb:Inductive_Representation_Learning_on_Large_Graphs
https://arxiv.org/abs/1706.02216
gptkbp:output node embeddings
gptkbp:publishedIn gptkb:Neural_Information_Processing_Systems_(NeurIPS)_2017
gptkbp:purpose inductive node representation learning
gptkbp:relatedTo gptkb:Graph_Convolutional_Networks
gptkb:DeepWalk
gptkb:node2vec
gptkbp:bfsParent gptkb:convolutional_neural_network
gptkbp:bfsLayer 5