Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:abbreviation |
GGNN
|
| gptkbp:application |
social network analysis
program analysis molecule property prediction |
| gptkbp:citation |
high
|
| gptkbp:designedFor |
learning on graph-structured data
|
| gptkbp:field |
gptkb:machine_learning
graph neural networks |
| gptkbp:hasComponent |
node embedding
edge embedding |
| https://www.w3.org/2000/01/rdf-schema#label |
Gated Graph Neural Network
|
| gptkbp:introduced |
gptkb:Marc_Brockschmidt
gptkb:Richard_Zemel Yujia Li Daniel Tarlow |
| gptkbp:introducedIn |
2015
|
| gptkbp:mechanismOfAction |
gated recurrent unit
|
| gptkbp:openSource |
gptkb:TensorFlow_GNN
gptkb:PyTorch_Geometric DGL |
| gptkbp:publishedIn |
ICLR 2016
|
| gptkbp:relatedTo |
gptkb:convolutional_neural_network
gptkb:Message_Passing_Neural_Network |
| gptkbp:uses |
gated recurrent units
|
| gptkbp:bfsParent |
gptkb:convolutional_neural_network
|
| gptkbp:bfsLayer |
5
|